Applied AI/ML Lead - Small Business

JPMorgan Chase & Co.•New York, NY

About The Position

Chase Small Business Banking serves 7 million small business clients with financial services including lending, deposits, cards, and online solutions. The Applied AI and Machine Learning Lead will set technical direction for agentic AI products supporting Small Business Lending. The role leads the design and production delivery of agent behavior across prompts, retrieval, tools, evaluation, routing, and memory, and owns the measurement loop for assessing system performance. In partnership with Product and Engineering, the Lead defines meaningful outcomes, guides a small team, and ensures solutions are reliable, safe, cost-aware, and suitable for a regulated financial environment. Chase is a financial services firm serving households, small businesses, nonprofits, and cities. It offers a competitive total rewards package, with compensation determined by role, experience, skill set, and location. Eligible roles may also receive commission-based pay or discretionary incentive compensation. Benefits and programs depend on eligibility.

Requirements

  • 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.
  • Communicated complex findings and recommendations clearly to technical and business partners.
  • Experience with RAG, vector databases, search, and structured or unstructured context.
  • Experience fine-tuning foundation models, training embeddings, or optimizing inference.
  • Expertise with LLM orchestration frameworks such as LangChain, LangGraph, or similar tools.
  • Experience with tracing and observability tools such as Arize Phoenix.

Responsibilities

  • Set the technical direction for applied AI in Small Business Lending, translating ambiguous needs into a solution strategy, success measures, and delivery plan.
  • 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.
  • Mentor and guide junior team members.
  • Cultivate stakeholder and partner relationships and communicate effectively to senior management.

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Commission-based pay and/or discretionary incentive compensation for eligible roles
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