AI Lead Software Engineer - Java

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader on an agile team designing and delivering secure, scalable, high-performing technology solutions.

You will partner across product, business, and engineering stakeholders to build strategic AI platforms that enable the firm's objectives.

Job responsibilities


* Lead the design, development, and delivery of high-quality software solutions that solve complex business problems with modern engineering practices


* Drive architectural decisions and technical direction to improve scalability, resiliency, and availability for distributed systems


* Build and maintain secure, production-grade services, setting a high bar for code quality through reviews, testing, and engineering excellence


* Mentor engineers through technical guidance, pairing, and actionable feedback to raise team capability and delivery outcomes


* Implement continuous integration and continuous delivery automation and reliability patterns to support safe, frequent releases


* Develop data-intensive services and workflows using Java or Scala, working effectively with large-scale datasets and modern data platforms


* Design and build AI-enabled applications, including retrieval-augmented generation patterns and agentic workflows, with appropriate evaluation and guardrails


* 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


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


* Demonstrated hands-on experience designing and delivering scalable, secure, resilient distributed systems in a production environment


* Proficiency in Java and Spring Boot, with working knowledge of SQL and modern user interface frameworks (for example, React)


* Strong understanding of modern architecture patterns, including microservices, event-driven design, and application programming interface-first approaches


* Experience building and operating solutions on public cloud platforms (for example, Amazon Web Services), including containerization and orchestration (Docker and Kubernetes)


* Experience implementing continu...