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 (CCB) 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

• Executes software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to solve complex problems.
• Creates secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produces architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to drive continuous improvement of software applications and systems.
• Proactively identifies hidden problems and patterns in data, using insights to drive improvements in coding hygiene and system architecture.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies.
• Adopts and learn new technologies that positively impact agentic solutions.
• Collaborates with cross-functional teams, including product, design, and operations, to deliver end-to-end solutions.
• Ensures 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 and/or Python
• Proficiency building production services with either Spring AI or 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 ECS or EKS, containerization (Do.

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