Lead Software Engineer - ML Engineer for Agent Platform

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer - ML Engineer for Agent Platform at JPMorgan Chase within the Commercial and Investment Banking – Data Analytics Payments Team, you are an integral part of an agile team that builds and delivers NEO, the firm's agent runtime platform for Payments Technology. You lead hands-on engineering of major runtime components — secure execution, agent-to-agent communication, memory, retrieval, and evaluation — in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Builds and operates major NEO runtime components — agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnesses

• Develops secure and high-quality production code, and reviews and debugs code written by others

• Drives team adoption of enterprise-authorized AI-assisted engineering practices 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

• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of the software applicaitons and systems

• Implements permission-aware, auditable execution for agents, including fine-grained authorization and runtime policy checks

• 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

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, and mentors Lead and senior engineers

• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills