Lead Software Engineer

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 at JPMorgan Chase within the Consumer & Community Banking division, you will design and build critical technology solutions across Chase AI components-including Chase Agent, Agent Operating Memory, Domain Agents, Agentic Experience Service, and Assurance.

Job Responsibilities


* Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.


* Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.


* Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.


* Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.


* Proactively identify hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.


* Contribute to software engineering communities of practice and events that explore new and emerging technologies.


* Adopt and learn new technologies that positively impact agentic solutions.


* Collaborate with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.


* Ensure compliance with security, privacy, and regulatory requirements in all software solutions.


* 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


* 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

Required Qualifications, Capabilities, and Skills


* 5+ years of software engineering experience, with 2+ years building complex scalable applications or agentic systems.


* Hands-on experience building agentic systems using LLMs/SLMs


* Experience setting up and maintaining MCP servers and building MCP-compatible tools/adapters


* Proficient in coding in one or more languages: Java, Python; able to jump between Java and Python projects as needed.


* Proficiency building production services with either Spring AI and the Spring ecosystem (Spring Boot, Spring Security, Spring Cloud), or Python (FastAPI/Flask), with typed contracts, testing, and packaging.


* Solid AWS background with working knowledge of...