Ai Engineer Jobs in New York, USA

Senior Forward Deployed AI Engineer (GenAI, AWS)

<p>Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)<br><br><b>Overview</b>:<br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li><li>Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI.</li></ul><br><br><b>The Ideal Candidate:</b><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>At least 1 year of people leadership experience</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>3 years of experience managing and leading an engineering team</li><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $229,900 - $262,400 for Sr. Mgr, AI Engineering<br><br>McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering<br><br>New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering<br><br>San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering<br><br>San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If y

<p>Lead AI Engineer (Gen AI Platform, Agentic AI &amp; LLM Infrastructure &amp; Orchestration)<br><br><b>Overview </b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</li><li>At least 4 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, delivering, and supporting AI services</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer<br><br>McLean, VA: $197,300 - $225,100 for Lead AI Engineer<br><br>New York, NY: $215,200 - $245,600 for Lead AI Engineer<br><br>San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>San Jose, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommoda

<p>Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)<br><br><b>Overview:</b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li></ul><ul><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li></ul><ul><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li></ul><ul><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li></ul><ul><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li></ul><ul><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li></ul><ul><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li></ul><ul><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li></ul><ul><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opport

<p>Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)<br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</li><li>At least 4 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, delivering, and supporting AI services</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer<br><br>McLean, VA: $193,400 - $220,700 for Lead AI Engineer<br><br>New York, NY: $211,000 - $240,800 for Lead AI Engineer<br><br>San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer<br><br>San Jose, CA: $211,000 - $240,800 for Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.<br><br>For technical support or questions about Ca

<p>Lead AI Engineer (MLX)<br><br><b>Overview </b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</li><li>At least 4 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, delivering, and supporting AI services</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer<br><br>McLean, VA: $197,300 - $225,100 for Lead AI Engineer<br><br>New York, NY: $215,200 - $245,600 for Lead AI Engineer<br><br>San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>San Jose, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.<br><br>For technical support or questions about Capital One's

<p>Lead AI Engineer ( MLX, Gen AI Platform Services, Agentic AI)<br><br><b>Overview </b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</li><li>At least 4 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><br><ul><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, delivering, and supporting AI services</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>McLean, VA: $197,300 - $225,100 for Lead AI Engineer<br><br>New York, NY: $215,200 - $245,600 for Lead AI Engineer<br><br>Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer<br><br>San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>San Jose, CA: $215,200 - $245,600 for Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.<br><br>

<p>Lead AI Engineer (MLX Emerging AI Patterns)<br><br><b>Overview </b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies</li><li>At least 4 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, delivering, and supporting AI services</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li></ul><br><br><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b><br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Sales Territory: $179,400 - $204,700 for Lead AI Engineer<br><br>New York, NY: $215,200 - $245,600 for Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.<br><br>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com<br><br>Capital One does not provide, endorse nor guarantee and is not liable for third-party

<p><b>Position Summary</b><br><br><strong>What You'll Do</strong><br><br>As a Deloitte Tax, AI Engineer Manager, you will oversee the design, development, deployment, and support of custom AI applications and modules to address key business needs. You will lead a team of engineers, drive project execution, manage stakeholder communications, and ensure high-quality deliverables aligned with organizational objectives.<br><br>Recruiting for this role ends on May 31, 2027.<br><br><strong>Responsibilities:</strong><br><br><ul><li>Define and enforce best practices and coding standards across the project.</li><li>Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.</li><li>Working both independently and in close collaboration with others in the team</li><li>Communicating clear instructions to team members and help manage the flow of day-to-day operations</li><li>Communicating with the client on a regular basis </li><li>Design, develop, and maintain robust and scalable Python applications.</li><li>Write clean, maintainable, and efficient code following best practices and coding standards.</li><li>Optimize code for performance and scalability, ensuring efficient data handling.</li><li>Work closely with cross-functional teams to deliver high-quality software solutions.</li><li>Identify and resolve technical issues, ensuring the reliability and performance of applications.</li><li>Create and maintain comprehensive documentation for code, processes, and workflows.</li><li>Provide guidance and mentorship to junior developers, fostering a collaborative and productive team environment.</li></ul><br><strong>The Team</strong><br><br>The prospective team you will be working with is responsible for the design, development, and deployment of innovative, enterprise technology, tools, and standard processes to support the delivery of tax services. The team focuses on the ability to deliver comprehensive, value-added, and efficient tax services to our clients. It is a dynamic team with professionals of varying backgrounds from tax technical, technology development, change management, and project management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.<br><br><strong>Qualifications </strong><br><br>Required:<br><br><ul><li>Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.</li><li>Bachelor's degree in computer science, engineering, or a relevant discipline.</li><li>5+ years of experience in development with demonstrated experience designing, developing, and maintaining robust Python applications.</li><li>Hands-on experience in web development with FastAPI, including Pydantic for data validation/schema definition.</li><li>Proven skills in asynchronous and parallel programming with practical experience using asyncio.</li><li>Experience working in Agile environments and applying core design patterns.</li><li>Demonstrated proficiency in .NET Core, ASP.NET Core Web API, and databases (SQL/NoSQL, Entity Framework 6+).</li><li>Ability to travel up to 10%, on average, based on the work you do and the clients and industries/sectors you serve.</li><li>Limited immigration sponsorship may be available.</li><li>One of the following active accreditations obtained:</li><ul><li>Licensed CPA in state of practice/primary office if eligible to sit for the CPA</li><li>If not CPA eligible:</li><ul><li>Licensed Attorney</li><li>Enrolled Agent</li><li>Technology Certifications:</li><ul><li>AWS Certified Solutions Architect</li><li>Certified in Risk and Information Systems Controls (CRISC)</li><li>Certified Information Systems Security Professional (CISSP)</li><li>Certified SAFe® Advanced Scrum Master</li><li>Certified SAFe® Agile Software Engineer</li><li>Certified SAFe® Agilist</li><li>Certified SAFe® Architect</li><li>Certified SAFe® DevOps Practitioner</li><li>Certified SAFe® Scrum Master</li><li>Certified Scrum Developer (CSD)</li><li>Certified Secure Software Lifecycle Professional (CSSLP)</li><li>Certified Secure Software Lifecycle Professional (CSSLP) - (ISC)2</li><li>Microsoft Azure</li></ul></ul></ul></ul><br>Preferred:<br><br><ul><li>Experience with LLMs (Large Language Models) in solving real-world problems and building agentic AI applications.</li><li>Experience with agentic frameworks such as LangGraph.</li><li>Advanced prompt engineering knowledge for LLM optimization.</li><li>Exposure to multi-modal Gen AI models (text-image, text-audio, etc.).</li><li>Familiarity with Retrieval-Augmented Generation (RAG) pipelines and vector databases/hybrid search.</li><li>Experience with performance tuning, reusable library creation, and advanced troubleshooting.</li><li>Familiarity with modern front-end technologies (Angular), MongoDB, NPM, and Azure DevOps Build/Release configuration.</li><li>Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/Release configuration.</li><li>Strong verbal and written communication skills; strong listening, interpersonal, and facilitation skills.</li><li>Self-starter with solid analytical and problem-solving skills.</li><li>Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.</li><li>Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.</li></ul><br>The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,025 to $261,625.<br><br>You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.<br><br>Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. <br> <br> <strong>Recruiting tips</strong><br><br>From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.<br><br><strong>Benefits</strong><br><br>At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.<br><br><strong>Our people and culture</strong><br><br>Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding

<p>Senior Lead AI Engineer (LLM Customization and Finetuning)<br><br><b>Overview:</b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at Recruiti

<p>Senior Lead AI Engineer (LLM Gateway, FM Hosting)<br><br><b>Overview:</b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at Recruitin

<p>Sr. Lead AI Engineer (AI Foundations)<br><br><b>Overview:</b><br><br>At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.<br><br><b>Team Description:</b><br><br>The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.<br><br><b>In this role, you will: </b><br><br><ul><li>Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.</li><li>Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.</li><li>Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.</li><li>Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.</li><li>Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.</li></ul><br><br><b>The Ideal Candidate:</b><br><br><ul><li>You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.</li><li>Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.</li><li>You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.</li><li>You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.</li><li>You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.</li></ul><br><br><b>Basic Qualifications:</b><br><br><ul><li>Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies</li><li>At least 6 years of experience programming with Python, Go, Scala, or Java</li></ul><br><br><b>Preferred Qualifications:</b><br><br><ul><li>7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)</li><li>Experience designing, developing, integrating, delivering, and supporting complex AI systems</li><li>Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders</li><li>Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang</li><li>Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost</li><li>Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production</li><li>Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers</li></ul><br><br>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.<br><br>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.<br><br>McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer<br><br>San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer<br><br>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.<br><br>This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<br><br>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.<br><br>This role is expected to accept applications for a minimum of 5 business days.<br><br>No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<br><br>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommo

<p>Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.<br><br>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.<br><br>Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.<br><br><b>Position Overview</b><br>As a Data AI Engineering Specialist within the Architecture &amp; Modernization team, you will be instrumental in building and maintaining the data infrastructure for our Data AI platforms. This role will involve hands-on development, data pipeline creation, and close collaboration with stakeholders across the organization. This role requires a self-starter with strong execution skills and the ability to work independently. You will be expected to not only execute on the current strategy but also contribute to its evolution. We value diversity of thought and are committed to building a team that reflects the diversity of our global community.<br><br>This is a hybrid position requiring a minimum of three days per week in the office. The role is based in NYC, and may also be based in Montreal for qualified candidates in Canada.<br><br><b>What you'll do in the role</b><br><ul><li>Develop and maintain data pipelines and ETL (Extract, Transform, Load) processes.</li><li>Work with structured and unstructured data to ensure it is accessible and usable.</li><li>Optimize data systems for performance and scalability.</li><li>Implement data quality and data governance standards.</li><li>Collaborate with stakeholders across technology and business units to understand their data needs and translate them into technical solutions and provide data-driven insights.</li><li>Contribute to the documentation and knowledge sharing within the team, creating, and maintaining technical documentation and training materials.</li><li>Participate in code reviews and contribute to the improvement of development processes.</li><li>Contribute to the broader data architecture community through knowledge sharing, presentations.</li></ul><br><br><b>What you'll bring to the role</b><br><ul><li>8 years+ of being a practitioner in data engineering or a related field.</li><li>Proficiency in programming skills in Python</li><li>Experience with data processing frameworks like Apache Spark or Hadoop.</li><li>Knowledge of database systems (SQL and NoSQL).</li><li>Experience working on Snowflake and Databricks.</li><li>Experience on Snowflake Cortex will be really appreciated.</li><li>Familiarity with cloud platforms (AWS, Azure) and their data services.</li><li>Understanding of data modeling and data architecture principles.</li><li>Experience with data warehousing concepts and technologies.</li><li>Experience with message queues and streaming platforms (e.g., Kafka).</li><li>Experience with version control systems (e.g., Git).</li><li>Experience using Jupyter notebooks for data exploration, analysis, and visualization.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work independently and as part of a geographically distributed team.</li></ul><br><br><b>Nice to have</b><br><ul><li>Familiarity with data visualization tools (e.g., Tableau, Power BI).</li><li>Familiarity with data governance and security best practices (e.g., data access control, data masking).</li><li>Experience with Agile methodologies.</li><li>Familiarity with data catalog and metadata management tools (e.g., Collibra).</li><li>Familiarity with CI/CD pipelines and DevOps practices.</li></ul><br><br><b>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:</b> <br><br>At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. <br><br>To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.<br><br>Expected base pay rates for the role will be between $150,000 to $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. <br><br>Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. <br><br>Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. <br><br>For more information, please visit : https://www.morganstanley.com/people-opportunities/eeo .</p>

<div><p>Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph—to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.</p></div> <p><strong>The Role:</strong></p> <p>As a Lead Applied Value Engineer, you are spearheading our mission of solving critical operational challenges for enterprise customers. You will be working with strategic clients to understand their unique objectives, from modernizing legacy systems to optimizing finance processes and deploying an agentic business. In partnership with the Celonis Sales Teams, you have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them drive adoption and realize measurable business value using Celonis.</p> <p>You can expect to blend process and industry expertise with a solution-first mindset, analyzing customer data and deploying tactical solutions. By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous agents that solve complex business bottlenecks. You’re the Celonis expert, connecting the dots between their pain points and how our platform can solve the problem. You’d be managing weekly cadences, QBRs, and value plans to demonstrate the value of our solutions to VP+ level executives.</p> <p><strong>Key Responsibilities:</strong></p> <ul> <li><strong>Pre- and Post-Sales Execution:</strong> Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales expansion cycles and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully met.</li> </ul> <p><strong>Insights framing and value realization: Owns driving enterprise-wide ROI and adoption programs. Increasingly accelerates customer autonomy with improved cadences and executive sponsorship through QBRs, strategic roadmaps, and enterprise-wide value opportunities. Enables cross-functional alignment and establishes repeatable frameworks for customers to independently track, realize, and expand on business value.</strong><strong>Domain &amp; Industry Leadership: &nbsp;Serve as the internal and external technical subject matter expert for your customer industry domain to scale knowledge across the organization.</strong></p> <ul> <li><strong>AI Discovery &amp; Solutioning:</strong> Understand your customers' AI strategies and specific challenges. As a Celonis product expert, find the best problem-solution fit and translate customer requirements into innovative solutions that deliver measurable impact.</li> </ul> <p><strong>Requirements:</strong></p> <ul> <li><strong>4+ years of experience in pre-sales, customer success, and/or consulting functions</strong> with a background in pre/post- sales consulting, strategy consulting, business process improvement, digital transformations, or customer value realization</li> <li><strong>Strong Technical Skills</strong> across Microsoft or competitor equivalent (e.g., AWS) certification in relevant technologies (e.g. Azure, Data Engineering..etc). Knowledge of Data Connections, Data Objects, Data Validation and Data Analysis. Knowledge and use of LLM’s, across Microsoft or competitor equivalent (e.g. Claude, Copilot…etc). Understanding of basic prompting and data constructs within a prompt.&nbsp;</li> <li><strong>Value driven selling through </strong>expertise in identifying and prioritising use cases, implementing improvement measures and becoming a change agent for the customer by establishing an operating model and training users for the customer to realize value and renew/expand their subscription with Celonis</li> <li><strong>Project Management: </strong>You are able to<strong> </strong>plan and manage project scope, expectations and timelines. You will need to manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.</li> <li><strong>Strong presentation skills</strong> to both internal and external stakeholders, whether leading technical whiteboarding sessions or formal readouts and demos.</li> <li><strong>Bachelor’s Degree required;</strong> Focus in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.</li> </ul> <p>&nbsp;<strong>Nice to have (big plus):</strong></p> <ul> <li>Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.</li> <li>Good knowledge of Python and common ML libraries (such as LangChain, pandas, sklearn, PyTorch) as well as data engineering tools and technologies.</li> <li>Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.</li> </ul> <p>Visa sponsorship is not offered for this role.</p> <div><div><div><span>The base salary range below is for the role in the specified location, based on a Full Time Schedule. <br><br>Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, including, but not limited to, applicant's qualifications, skills, experiences, and location.</span></div><div>The base salary range below is for the role in New York, based on a Full Time Schedule. </div><div><span>$140,000</span><span>—</span><span>$160,000 USD</span></div></div></div> <div><p><strong>What Celonis can offer you:</strong></p> <ul> <li><span>Pioneer Innovation:</span> Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.</li> <li><span>Ownership from Day 1:</span> Every full-time "Celonaut" is an owner, receiving Restricted Stock Units (RSUs) and merit-based refresh grants.</li> <li><span>Unrivaled Family Support:</span> Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment.</li> <li><span>Work-Life Integration:</span> Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration.</li> <li><span>Continuous Growth:</span> Elevate your skills through our 70-20-10 learning framework, mentorship programs, and access to a dedicated learning platform.</li> <li><span>Holistic Well-being:</span> Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated "Wellness Weeks" that prioritize work/life balance.</li> <li><span>Drive Sustainability:</span> Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually.</li> <li><span>Global Inclusion &amp; Belonging:</span> Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued.</li> <li><span>Value-Driven Impact:</span> Join a mission-led organization where our core values—Live for Cust

AI Engineers in AWS AI Engineering help customers build and use AI agents to transform how work gets done. You will design and productionize agentic systems using services like Amazon Bedrock and AgentCore, contribute to open-source AI accelerators, and help customers adopt AI-native software development practices.<br/><br/>The role splits roughly 50/50 between direct customer engagements and building leverage through reusable assets, open source, and thought leadership. In customer work, you will partner with software development teams to leverage AI coding tools like Kiro, Claude Code on Bedrock, and Codex on Bedrock. You'll work hands-on to unblock adoption and ensure solutions are secure, reliable, and cost-effective. In your building time, you will create reference implementations, contribute to open-source projects, and develop content that enables the broader community. You will work closely with AWS service teams to close the loop between what customers need and what AWS builds.<br/><br/>This is a global role within the Solutions Architect organization. You will maintain deep relationships with AI service teams and collaborate with specialists across regions to stay current on capabilities and influence roadmaps.<br/><br/>Key job responsibilities<br/>Roles and Responsibilities<br/>- As a key member of the account team, partner with customers to ensure their long-term success by helping them harness the power of AWS services to accelerate their business.<br/>- Formulate and execute a cloud adoption strategy that delights our customers and builds strong relationships that lead to strategic revenue streams that exceed AWS objectives.<br/>- Become a trusted advisor by gaining deep knowledge of AWS services, design patterns and best practices, and sharing that knowledge with clients, other SAs and the wider AWS builder community.<br/>- Work with other SAs to develop reusable solutions to common business and architectural problems.<br/>- Educate customers by leading workshops and hands-on classes to demonstrate how to use AWS services.<br/>- Network and build deep relationships with senior technical individuals within customer organizations to enable them to be cloud advocates.<br/>- Author and contribute to AWS customer-facing publications such as whitepapers, blog posts and open source projects, and speak at public events.<br/>- Help hire, on-board and train new SAs via mentorship and builder programs.<br/>- Become an expert in driving AI coding tool adoption across software development teams, and have deep expertise across the entire software development lifecycle.<br/><br/>A day in the life<br/>You might start your morning debugging a customer's agent that's hitting context limits, then spend the afternoon reviewing a pull request for an open source project. Later, build something with the latest model and coding agent releases to stay up-to-date through hands-on building. Some days you're on-site pair-programming with a customer's engineering team; others you're preparing a talk for an upcoming conference. The work varies, but you'll always be deep with hands-on building and direct customer impact.<br/><br/>About the team<br/>AI Engineering is a global team within the Solutions Architect organization focused on helping customers build and use AI agents. We operate at the frontier of AI, bridging foundation models and production systems through direct customer engagements, open-source accelerators, and close collaboration with AWS service teams. We split time between hands-on customer work and creating assets that scale. The role combines engineering, advisory work, and product influence. We maintain high standards while operating with speed, and we stay grounded in customer outcomes. Built for tinkerers who ship production code and thrive in ambiguity.