JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers and businesses. As an Applied AI and Machine Learning Lead, you will be responsible for leading the architecture and implementation of scalable large language model systems and AI platforms, ensuring high quality and reliability across enterprise workflows.
Responsibilities:
- Lead the architecture and hands-on delivery of scalable, reliable agentic AI platforms for enterprise workflows
- Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
- Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
- Engineer cloud-native AI services on AWS using containers and serverless patterns, event-driven messaging, and distributed data stores
- Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
- Build well-governed APIs and integrations that connect AI capabilities to enterprise platforms, tools, and business processes
- Establish evaluation, experimentation, regression testing, and observability frameworks to continuously improve quality and agent behavior
- Define engineering standards for reliability, security, and safe AI operation across the platform lifecycle
- Mentor senior engineers and influence engineering direction through code reviews, architecture forums, and cross-team technical leadership