Lead Software Engineer - ML Engineer Agent Platform

Job Information

• Job Identification
• Job Category Software Engineering
• Business Unit Commercial & Investment Bank
• Posting Date 07/20/2026, 01:51 PM
• Locations 545 Washington Blvd, Jersey City, NJ, 07310, US
• Job Schedule Full time
• Job Shift Day
• Base Pay/Salary Jersey City,NJ $-$

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.

• 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

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands‑on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s); strong Python required
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Hands‑on experience building LLM‑power or agentic systems, including tracing, evaluations, and guardrails
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in…