Jobs and Careers
AU

Sr. AI Solution Engineer

Automation Anywhere
US Remote (Contingent), United StatesRemotefull_timeVerifiedPosted 11 Nov 2024
💰 $165,000/yr($140,000/yr$165,000/yr)

About the role

About Us:

Automation Anywhere is a leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with specialized AI, generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI-powered automation. Learn more at www.automationanywhere.com

Our opportunity:

Join us as a Senior AI Solution Engineer and be at the forefront of transforming how AI and Agentic Automation solve real-world business challenges. In this pivotal role, you'll drive the delivery and adoption of cutting-edge AI solutions that unlock new levels of value and innovation for our organization. Become a key player in making our program a standout example of what digital transformation can achieve with our platform. You'll thrive in a high-energy, engaging workplace filled with talented team members from diverse backgrounds, where creativity, collaboration, and impact are the norms.

Who you’ll report to:

This role will report to our Sr. Director, IT

Location: 

Remote role - ability to work within any U.S time zone

You will make an impact by being responsible for:

  • Designing, developing, and deploy AI solutions that address key business challenges. Leveraging AAI’s products (ex. AI Studio, Enterprise Knowledge) and AI technologies to high-impact solutions, ensuring they meet defined objectives, performance standards, and compliance requirements. Measuring and reporting the business value of delivered AI solutions to key stakeholders
  • Providing guidance on leveraging AI and automation to address business problems while evaluating whether to build custom solutions or adopt existing technologies, considering strategic goals and resource constraints
  • Addressing common challenges in generative AI, including data privacy, security, compliance (standards like standards like GDPR, ISO/IEC), ethical concerns, bias, and the accuracy of AI systems
  • Promoting the adoption of advanced AI technologies, such as vector databases and knowledge graphs, ensuring effective integration to meet business needs
  • Communication and Collaboration: Ability to convey technical concepts to non-technical stakeholders and work cross-functionally with product, design, and operations teams
  • Keeping informed about AI technology trends and advancements to incorporate insights into strategic planning and execution
  • Understand scalable and distributed systems, cloud platforms (AWS, Azure, GCP), and microservices architecture for seamless AI solution integration

You will be a great fit if you have: 

  • Bachelor’s degree in Computer Science, AI, Data Science, or related field
  • Expertise in AI and automation technologies (e.g., generative AI, vector databases, knowledge graphs) with hands-on experience in prompt engineering and Retrieval-Augmented Generation (RAG)
  • Proven ability to manage data privacy, security, compliance, and accuracy in AI applications
  • Strong communication and leadership skills, capable of driving initiatives across departments
  • Experience working in IT and/or Security Operations, cloud platforms (AWS, Azure, GCP), Identity and Access Management protocols and technologies

You excel in these key competencies: 

  • AI/ML Expertise: Proficiency in frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP) for AI/ML
  • Prompt Engineering & RAG: Skills in crafting effective prompts and enhancing AI outputs with external data integration
  • NLP Knowledge: Strong understanding of natural language processing and conversational AI technologies
  • Deployment & Operations: Experience in model deployment, monitoring, optimization (MLOps), and problem-solving
  • Stakeholder Communication: Ability to explain AI concepts to non-technical audiences and collaborate cross-functionally
  • Adaptability & Innovation: Flexibility in learning new tools and developing innovative solutions

The base salary range for this position in California, New York

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Company

Automation Anywhere

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