Ai Engineer Jobs in New York, USA

<p><strong>ABOUT THE ROLE </strong></p> <p>Peloton is looking to transform our enterprise tech strategy with AI adoption. We are looking for a <strong>Staff Enterprise AI Engineer</strong> to serve as the "Founding Engineer" of our Enterprise AI Platform.This is not a traditional Data Science role. You will not spend your days tweaking hyperparameters. Instead, you will architect and build the <strong>Operating System</strong> that enables our Product, People, and Operations teams to deploy AI Agents safely and at scale. You will act as a "Player/Coach," laying the technical foundation (Infrastructure, Security, Orchestration) while guiding a team of engineers to execute the vision. You will build the "Golden Path" that helps everyone at Peloton to leverage AI securely for the competitive advantage of Peloton.</p> <p><strong>YOUR DAILY IMPACT AT PELOTON</strong></p> <ul> <li>Architect the "Intelligence & Integration" Layers</li> <li>Design and build a scalable Agentic Orchestration Platform (using LangChain, LangGraph, or custom frameworks) that allows internal developers to spin up autonomous agents.</li> <li>Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol - MCP).</li> <li>Solve the "State Problem" for AI, architecting memory stores (Vector DBs like Pinecone/Weaviate) that persist context across user sessions.</li> <li>Enforce "Security by Design"</li> <li>Partner with Security leadership to implement Identity Propagation. Ensure agents execute tasks using the <em>user’s</em> specific OAuth scopes, preventing privilege escalation.</li> <li>Build "Data Clean Rooms" and PII masking pipelines to ensure sensitive member or employee data is never leaked to model providers.</li> <li>Deploy EvalOps pipelines to automatically test models for hallucination and regression before they hit production</li> <li>Define the Engineering Standards</li> <li>Define the "Guide vs. Control" standards for the organization. Create the templates and libraries that allow analysts to "Vibe Code" (low-code/assisted coding) safely within our guardrails.</li> <li>Perform rigorous code reviews for partner teams and vendors, ensuring high performance, low latency (<200ms), and cost efficiency</li> <li>Capital-Efficient Scale</li> <li>Optimization of inference costs by implementing Semantic Caching and routing logic (e.g., routing simple queries to smaller/cheaper models).</li> <li>Leverage Kubernetes (EKS) to manage ephemeral

AI Engineer at Patlytics. Apply via Ashby.

<div class="content-intro"><h3> </h3> <h3><strong>Why Charlie Health?</strong></h3> <p>Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.</p> <p>Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.</p> <p>As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.</p></div><h2><strong>About the role</strong></h2> <p>The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.</p> <p>Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.</p> <p>We are hiring a Distinguished AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.</p> <h2><strong>Responsibilities</strong></h2> <ul> <li>Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.</li> <li>Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.</li> <li>Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.</li> <li>Define and build the agentic substrat

AI Engineer (Pre-Sales) at Adaptive ml. Apply via Ashby.

Forward Deployed AI Engineer at Adaptive ml. Apply via Ashby.

<p>Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.</p> <p>As a <strong>Senior AI Engineer</strong> at Via, you'll be a founding member of Via's new AI Labs - an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you.</p> <p><strong>About the Role:</strong></p> <ul> <li>Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments.</li> <li>Work closely with our partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions.</li> <li>Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows. </li> <li>Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences.</li> <li>Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business.</li> <li>Write clean, scalable backend code that powers AI-driven features - designing APIs, managing data flows, and ensuring your systems perform reliably at scale.</li> <li>Help shape the technical culture of AI Labs from the ground up - contributing to how the team builds, reviews, ships, and iterates.</li> <li>Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively.</li> </ul> <p><strong>About You:</strong></p> <ul> <li>You have 8+ years of hands-on experience building and shipping AI-powered products - with a track record of owning features end-to-end rather than working in isolation on model

A World-Changing Company   Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role   Forward Deployed AI Engineers work directly with customers owning Gen AI strategy and implementation. On a daily basis, you will build end-to-end workflows, take them to production, and solve real world problems at the largest scale. You will have ample opportunity to contribute learnings from the field back to the Palantir AIP product suite.   You will be on the forefront of extending Palantir's existing footprint and strategy into new markets and problem spaces opened up by Gen AI.   Core Responsibilities   Forward Deployed AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.   Do you aspire to be an entrepreneur or an Applied AI leader? We believe Palantir is the best place — with the best colleagues — to learn how!

About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job: Technical Lead, Applied AI   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!     By applying, you agree to our Applicant Privacy Policy.  

About Influur We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today. Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both. Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now. What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it.

<p><strong>DRW</strong> is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.</p> <p>Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.</p> <p>We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. <strong>DRW</strong> is a place of high expectations, integrity, innovation and a willingness to challenge consensus.</p> <p>As an <strong>AI Engineer </strong>at DRW, you will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance productivity, efficiency, and discover innovative paths to challenging business and technology problems. Surrounded by cutting-edge technology and experienced trading teams, you will have the opportunity to tackle fascinating new projects while becoming a subject-matter expert in a critical and innovative role.</p> <p><span style="text-decoration: underline;"><strong>Key Responsibilities:</strong></span></p> <ul> <li>Drive end-to-end development of AI infrastructure and AI driven applications: from initial proof-of-concept to production deployment and ongoing maintenance.</li> <li>Collaborate with technologists, traders, quantitative researchers, and data scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases.</li> <li>Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability.</li> <li>Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments.</li> <li>Create and maintain feature pipelines, feature stores, and model stores.</li> <li>Develop frameworks to enable scalable, reproducible research.</li> <li>Proactively troubleshoot performance bottlenecks, conduct root-cause analyses, and implement solutions to optimize GPU or CPU res

<p></p> <p><strong>We see the world differently at Capstone Investment Advisors. You will, too.</strong></p> <p>Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles. With approximately $12.5 billion of AUM (as of May 1, 2026) and 304 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland. Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.</p> <p>With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.</p> <p></p> <p>Learn more about how you can be part of the disciplined collaboration and transcendent thinking as an AI Engineer at Capstone Investment Advisors here.</p> <p><strong>Responsibilities and Impact:</strong></p> <ul> <li>Design and implement AI/ML/LLM-driven models, tools, workflows, and agents</li> <li>Develop, integrate, and maintain AI features into products (e.g. chat agents, copilots, automation pipelines)</li> <li>Implement retrieval augmented‑ generation (RAG), MCPs, function calling, and internal integrations (e.g. databases, APIs, services)</li> <li>Research, prototype and deploy AI applications using Python</li> <li>Engage with domain experts to identify, evaluate, and execute high-value AI use cases</li> </ul> <p><strong>Our future colleague has these skills:</strong></p> <ul> <li>Computer Science degree or a related field required</li> <li>5+ years of experience</li> <li>Proficiency in Python programming</li> <li>Hands-on experience with frameworks like LangChain, Llamaindex, etc., vector stores, LLM APIs (e.g. OpenAI API, Anthropic API), and building MCP servers/clients</li> <li>Financial services/hedge fund experience is preferred</li> </ul> <p><strong>Do you possess these Bonus Skills:</strong></p> <ul> <li>Master’s or Ph.D. in Artificial Intelligence, Computer Science, or a related field required</li> </ul> <p><strong>Benefits & Compensation Information:</strong></p> &lt