Lead AI Engineer for Sales Assistant Platform Technology - Lead Software Engineer

JPMorganChase is a financial institution seeking a Lead Software Engineer for its Sales Assistant Technology Team. The role focuses on building and operating an agentic AI platform, including multi-step LLM agents, orchestration, routing, memory, evaluations, and production-grade systems. The engineer will evaluate emerging generative AI techniques, improve system quality, and collaborate with research, product, engineering, vendors, and internal teams.

Responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Drive/Build/Own agentic platform with UI, orchestration, routing, memory, training ground and evaluations frameworks end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses
• Drive applied AI by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
• Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
• Partner cross-functionally with quant research, product, and engineering to understand their agents and provide solutions on-board on to our platform in a federated way
• Build and maintain production-grade code and systems that are observable, robust, and scalable
• Contribute to technical direction and standards for agent design, evaluation, and safe deployment
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• 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