New York, NY, United States
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Set technical direction and delivery plans for applied AI in small business lending
Lead AI projects from discovery through production and post-launch results
Guide agent design across prompts, retrieval, tools, evaluation, routing, and memory
Define evaluation, safety, and guardrail approaches for non-deterministic systems
Partner with Engineering on infrastructure, retrieval, tool APIs, and release readiness
Set the technical direction for applied AI in Small Business Lending
Lead projects from discovery through production, managing priorities, risks, dependencies, and post-launch results
Guide agent design across prompts, context, retrieval, tools, evaluation, routing, and memory
Define evaluation, safety, and guardrail approaches for non-deterministic systems
Partner with Engineering on infrastructure, retrieval, tool APIs, telemetry, and release readiness
Required Qualifications, Capabilities, and Skills - Master's or PhD degree in computer science or a data science-related discipline, with 5+ years of industry experience - Developed and deployed production machine learning or generative AI solutions using Python
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
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- Master's or PhD degree in computer science or a data science-related discipline, with 5+ years of industry experience - Developed and deployed production machine learning or generative AI solutions using Python - Experience leading AI/ML services from ideation to deployment, including design, code review, automated testing, CI, monitoring, and post-release improvement
- Built evaluations and safety controls for nondeterministic and agentic systems - Worked with data pipelines, SQL, and structured and unstructured data - Advanced knowledge of statistical methods, experimental design and A/B testing
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Chase Small Business Banking is a world-class brand serving 7 million small business clients with a full suite of financial services, including lending, deposits, cards, and online solutions.
As an Applied AI and Machine Learning Lead, you will set the technical direction for agentic AI products supporting Small Business Lending. You will lead the design and production delivery of agent behavior across prompts, retrieval, tools, evaluation, routing, and memory, while owning the measurement loop that demonstrates whether the system works. Partnering closely with Product and Engineering, you will define meaningful outcomes, guide a small team, and ensure the solutions are reliable, safe, cost-aware, and appropriate for a regulated financial environment.
Job Responsibilities
Cultivate stakeholder and partner relationships, communicate effectively to senior management
Required Qualifications, Capabilities, and Skills
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New York, NY, United States
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