Software Engineer III- AI, LLM & Data Platforms

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer & Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities:


* Deliver end-to-end platform features for agent-based artificial intelligence use cases, from technical design through production deployment, monitoring, and ongoing improvements


* 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.


* Build and maintain reusable services and components that enable teams to create, evaluate, and operate LLM-powered agents at scale


* Implement evaluation and testing approaches for LLM systems, including quality measurement, regression testing, and error analysis to improve reliability over time


* Develop observability capabilities such as tracing, metrics, logs, and analytics to support healthy operations and fast troubleshooting


* Apply security, safety, and governance-by-design patterns, including guardrails, access controls, and audit-ready operational practices aligned to security and governance requirements


* Collaborate with product managers and stakeholders to define success metrics, prioritize work, and deliver measurable business impact


* Partner across engineering, data, security, and risk and compliance stakeholders to ensure solutions are secure, stable, and scalable


* Produce clear documentation and reference implementations that accelerate adoption and promote responsible, consistent engineering practices

Required qualifications, capabilities and skills:


* Formal training or certification on software engineering concepts and 3+ years applied experience


* Proficiency in Python with strong software engineering fundamentals, including testing practices, version control, and code review


* Experience building and operating production services, including incident readiness, performance tuning, and operational stability for data-intensive systems


* Hands-...