Applied AI/ML Lead: Build Agentic AI for Global Advisory

JPMorgan Chase; Chicago (IL); Hybrid; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase is seeking an Applied AI ML Lead to own end-to-end delivery of priority IPB AI/ML use cases, from problem framing to deployed, monitored production services with measurable impact.

You will lead engineering build of agentic AI and LLM-powered products for IPB advisors and clients across international markets, set quality bars, and ensure governance and data privacy across platforms.

Qualifications

• Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• 5+ years of applied experience in AI/ML engineering with production deployments.
• Advanced proficiency in Python and modern software engineering practices.

Responsibilities

• Own end-to-end delivery of AI/ML use cases from framing to deployed production services.
• Lead engineering build of agentic AI and LLM-powered products for IPB advisors and clients.
• Set engineering quality standards through design reviews and code reviews.
• Establish Responsible AI controls including guardrails and observability.
• Partner with IPB stakeholders to surface opportunities and shape funded workstreams.

Skills

Python proficiency

AI/ML engineering

CI/CD & testing

Regulatory & governance

Cross-disciplinary collaboration

Education

Master's degree in Computer Science, Data Science, Engineering, or related field

Tools

Claude Code

GitHub Copilot

Databricks

Kubernetes

Cloud platforms (AWS, GCP, Azure)

Job description

JPMorgan Chase is seeking an Applied AI ML Lead to own end-to-end delivery of priority IPB AI/ML use cases, from problem framing to deployed, monitored production services with measurable impact.

You will lead engineering build of agentic AI and LLM-powered products for IPB advisors and clients across international markets, set quality bars, and ensure governance and data privacy across platforms.