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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As a Sr Lead Software Engineer - AI Engineer within the Consumer and Community Banking Digital Technology team, you will join an agile group focused on building secure, stable, and scalable technology products. You will be responsible for creating complex coding frameworks, developing high-quality production code, and reviewing peer contributions. A primary focus involves architecting and governing agentic AI-enabled engineering workflows to improve delivery speed, code quality, and operational outcomes through automated PR reviews, test generation, and incident triage. You will define guardrails for security and resiliency while advising cross-functional teams as a subject matter expert. The role requires expertise in at least one programming language, cloud native technologies, and system design. You must demonstrate experience in responsible AI practices, including human-in-the-loop validation and secure data handling to solve complex technical problems within the banking domain.
Create complex and scalable coding frameworks using appropriate software design patterns.
Develop secure, high-quality production code while reviewing and debugging code written by others.
Architect and govern agentic AI-enabled engineering workflows to improve delivery speed and code quality.
Define guardrails for validation, security, resiliency, and reuse of AI-assisted development tools.
Serve as a subject matter expert and advise cross-functional teams on technical matters.
Create durable, reusable software frameworks that are utilized across multiple teams and functions.
Define enterprise-scale, AI-enabled architectures to create next-generation customer experiences.
Collaborate with product and engineering teams to define roadmaps and solution architectures.
What we're looking for
Formal training or certification on software engineering concepts and 5+ years of applied experience.
Hands-on practical experience delivering system design, application development, testing, and operational stability.
Expert proficiency in one or more programming languages.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices across teams.
Strong understanding of responsible AI use, control expectations, and risk-based governance in engineering workflows.
Experience applying expertise to solve complex technology problems in one or more technical disciplines.
Practical cloud native experience.
Degree in Computer Science, Computer Engineering, Mathematics, or a related field (preferred); advanced knowledge of software architecture (preferred).