Applied AI/ML Lead - Vice president
JPMorgan Chase · Posted Oct 14
Global banking, investment, credit card, mortgage, and asset management services
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About the role
The Payments and Global Banking Technology organization at JPMorgan Chase builds production search, conversational assistants, and automated workflow systems powered by generative artificial intelligence at enterprise scale. The team works on language-model application development, retrieval pipelines, dialogue management, and agentic workflow orchestration. This Applied AI/ML lead role designs and delivers these features end-to-end, from technical design through implementation, testing, and production support, in collaboration with product and business partners.
What you will do
- Implement and iterate on production search, chatbot, and agentic workflow features, writing and reviewing code daily.
- Build retrieval pipelines (hybrid search, re-ranking, chunking, embedding strategies) and integrate them into conversational AI systems with dialogue management and backend services.
- Implement components of agentic workflows—tool use, orchestration, error recovery, and human-in-the-loop patterns—within established architectural frameworks.
- Troubleshoot and resolve systems issues related to latency, reliability, and observability in non-deterministic AI systems.
- Follow and contribute to team technical standards, design patterns, and best practices for GenAI-powered applications.
- Participate in design reviews and code reviews to maintain engineering quality.
- Collaborate with product and business stakeholders to understand requirements and deliver technical solutions.
Skills used in this role
What the employer is looking for
- 6+ years of hands-on software engineering experience building production systems at scale, with exposure to search, conversational AI, or workflow automation.
- Proficiency in Python, API design, and microservices architecture.
- Working understanding of LLM capabilities and limitations—prompt engineering, context management, output parsing—and practical use of models as components.
- Experience with at least one of: retrieval systems, conversational AI, or agentic architectures (tool calling, planning, orchestration).
- Awareness of systems-level concerns—latency, throughput, cost efficiency, and graceful degradation.
- Experience with AWS cloud services for production applications.
- Strong communication and collaboration skills across technical and non-technical audiences.
Preferred qualifications
- Experience building evaluation and testing frameworks for LLM-powered applications.
- Familiarity with RAG patterns (query decomposition, multi-index routing, contextual compression).
- Exposure to agent orchestration—parallel tool execution, stateful workflows, and cost/token management.
- Experience working in regulated environments with awareness of model governance and explainability requirements.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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