Lead Java AI Engineer: Kafka & AI Platform

JPMorganChase; Chicago (IL); On-site; USD 138,000 - 185,000; Full time

Job summary

JPMorganChase in Chicago, IL, is seeking a Lead Software Engineer – Java, AI and Kafka to join the Commercial & Investment Bank - Payment Platform team. This full-time, on-site role focuses on building scalable, secure technology products.

You will lead a team of engineers, shape architecture, and drive AI-assisted engineering practices, with strong experience in Java, REST, microservices, Kafka, Spring, and cloud infrastructure.

Qualifications

• Formal training or certification on Software Engineering concepts and 8+ years applied experience.
• Experience leading AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs/outputs.

Responsibilities

• Executes creative software solutions and technical troubleshooting with ability to think beyond routine approaches.
• Lead and inspire a team of entry-level to mid-level software engineers, fostering collaboration and excellence.
• Oversee technical design, architecture, and implementation for high-quality, scalable solutions.
• Produce architecture and design artifacts for complex applications, ensuring design constraints are met.
• Develop visualizations and reporting from large data sets to support continuous improvement.
• Identify opportunities to automate remediation to improve stability.
• Lead evaluation sessions with vendors and internal teams to assess architectural designs.
• Lead communities of practice to drive adoption of new technologies.
• Promote enterprise-approved AI-assisted engineering practices to improve code quality and delivery.

Job description

JPMorganChase in Chicago, IL, is seeking a Lead Software Engineer – Java, AI and Kafka to join the Commercial & Investment Bank - Payment Platform team. This full-time, on-site role focuses on building scalable, secure technology products.

You will lead a team of engineers, shape architecture, and drive AI-assisted engineering practices, with strong experience in Java, REST, microservices, Kafka, Spring, and cloud infrastructure.