Lead Software Engineer and ML Engineer - Sales Copilot

JPMorganChase is a financial services company seeking a Lead Software Engineer and ML Engineer to build production AI agents for its Commercial and Investment Bank. The role designs, deploys, evaluates, and operates LLM-powered agents, retrieval systems, agent memory, organizational context management, and multi-agent workflows while partnering with product, business, and engineering teams.

Responsibilities:

• Design and ship production agents on NEO across the federated portfolio, owning them from prototype through production
• Build retrieval that holds up in production: Graph RAG combining knowledge-graph traversal with vector search, plus chunking, ranking, and grounding strategies that keep answers accurate and auditable
• Design agent memory: episodic and semantic memory organized as memory nodes, with recall, summarization, and decay policies tuned per use case
• Own organizational context management — assembling entitlement-, lineage-, and tenant-aware context so each agent reasons over only what it’s allowed to see
• Compose multi-agent workflows using A2A, and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk)
• Build and run evals: task-level and end-to-end agent evaluations, regression suites, LLM-as-judge, and quality/safety gating before release
• Deploy and operate solutions on public cloud (AWS and, or Azure) with strong SDLC, security, resiliency, and observability practices
• Partner with product and business partners across CIB and Payments to turn use cases into shipped, supported agents
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture