Lead Software Engineer - Agentic AI, Java/Python

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 - Agentic AI, Java/Python at JPMorgan Chase within the Commercial and Investing Banking - Data Analytics Payments Team, you are an integral part of an agile team that delivers trusted technology products in a secure, stable, and scalable way.

You will collaborate with senior stakeholders to design, drive growth of J.P.

Morgan's Data and Analytics solutions and enable data-driven sales growth strategies.

You lead hands-on engineering of driving intelligence automation and build agentic AI on NEO, the firm's agent runtime platform for Payments Technology..

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 multiple agentic solutions on NEO end to end - agent execution and sandboxing (micro-VMs), A2A and MCP integrations, the memory layer (memory nodes), retrieval, and evaluation harnesses


* Delivers the full-stack product surface - Typescript/Next.js application on Salt Design System with virtualization at scale.


* 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 applications and systems


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


* 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



* Formal training or certification on software engineering concepts and 5+ years applied experience


* Hands-on practical experience delivering...