Senior Lead Software Engineer AI

Job Description

As aLead Software Engineer AI you will build and ship production-grade multi-agent AI systems used daily by thousands of engineers. Youll work on an applied AI platform that automates key stages of the software delivery pipelinefrom PRD through architecture implementation QA security and retrospectiveat enterprise scale. You will own agent capabilities end-to-end with a focus onreliability evaluation observability and cost-per-session. This is not a research or data science roleyou will engineer production systems that consistently follow specifications.

Job Responsibilities

• As a Lead Software Engineer-AI with CCB at JPMorgan Chase you will develop complex and scalable frameworks using appropriate software design including durable and reusable frameworks leveraged across teams and functions.
• Develops secure and high-quality production code and reviews anddebugs code written by others; engineers systems with clear failure modes retry strategies and robust operational behavior.
• Leads cross-functional teams on technological matters within domain of expertise while acting as the functions go-to subject matter expert.
• Contributes to the development of technical methods in specialized fields in line with the latest product development methodologiesincluding pragmatic AI engineering practices.
• Builds and maintains evaluation and quality mechanismsto detect regressions measure specification/acceptance-criteria compliance and surface behavior changes across model or dependency updates.

• Influences leaders and senior stakeholders across business product and technology teams.

  Qualifications

• Formal training or certification on software engineering concepts and 7 years applied experience.
• Hands-on practical experience delivering system design application development testing and operational stability.
• Proficient in one or more programming language(s)(e.g. Python and/or TypeScript; able to build CLI tooling API integrations and data pipelines).
• Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines(including designing multi-step AI workflows: sequential chains parallel fan-out conditional routing and human-in-the-loop checkpoints).
• Knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines ( artificial intelligence / applied LLM systems machine learning mobile etc.).
• Experience with agent frameworks (e.g. LangChain LlamaIndex AutoGen CrewAI or homegrown) and clear opinions on their tradeoffs.
• Demonstrated experience building systems on top of LLM APIs (endpoint integration streaming tool/function calling and context management).
• Ability to present and effectively communicate with Senior Leaders and Executives.
• Understanding of the business including familiarity with JPMC enterprise stack: Cloud Foundry GKP Jules CI/CD TrueCD Sophia auth.
• Practical cloud native experience.