About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 233 roles with salary data.

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TL;DR · Business Enablement Vice President

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J.P. Morgan seeks a Business Enablement Vice President to join its Commercial & Investment Bank's Chief Data & Analytics Office, focusing on Payments and Banking businesses. This hands-on role involves working closely with senior business stakeholders to identify high-impact AI use cases, translating domain-specific workflows into technical requirements, and developing production-grade AI solutions using internal tooling. Responsibilities include designing end-to-end architectures for key use cases, from prototype through deployment, while adhering to firm standards for resilience and risk management. The ideal candidate has a background in financial services, particularly Payments or Banking, with experience in Python development, LLM-based applications, and the modern GenAI stack including prompt engineering and agentic frameworks. This role demands strong analytical skills, technical fluency, and the ability to communicate effectively with senior stakeholders across various business units.

Skills

Python LLM APIs Vector stores Embeddings Tool/function calling Multi-step agent design LLM evaluation Prompt engineering RAG CI/CD PostgreSQL Kubernetes AWS

What you'll do

Embed with senior stakeholders in Payments and Banking to identify high-leverage opportunities for GenAI.
Translate domain context into precise technical requirements and reusable components for scalable adoption.
Design, prototype, and deploy production AI solutions using internal tooling that meet firm standards.
Own end-to-end design, architecture, and development of AI use cases from prototype through production.
Partner with Technology and CDAO teams to deliver and scale AI solutions in line with resilience and risk standards.

What we're looking for

Extensive background in Payments and Banking domains, including treasury services and M&A advisory
BSc or MSc degree in Computer Science, Engineering, Mathematics, or related quantitative field
Hands-on experience writing production Python code in an enterprise environment
Demonstrable experience designing and deploying LLM-based applications with prompt engineering and RAG
Familiarity with modern GenAI stack including LLM APIs, vector stores, embeddings, and tool calling
Strong verbal and written communication skills for senior management and technical teams