Applied AI ML Lead- Agentic AI & Python

JPMorgan Chase is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations. The Applied AI ML Lead role involves providing deep engineering expertise to enhance and deliver AI products, translating business problems into agentic AI solutions, and managing the end-to-end delivery of AI/ML use cases.

Responsibilities:

• Owns end-to-end delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact
• Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across the globe
• Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers
• Establishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standards
• Acts as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them into funded workstreams
• Represents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design
• Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
• Champions the firm's culture of diversity, Opportunity, inclusion, and respect