Applied AI ML Lead - Agent Builder Platform

Help shape how teams across the firm build and deploy agentic artificial intelligence products-at scale, with quality, and with measurable impact.

You will work on a high-visibility platform that accelerates engineering teams, raises delivery standards, and turns complex business needs into reliable production outcomes.

Join a team where strong engineering, thoughtful collaboration, and continuous learning are core to how we operate.

As a Applied AI and Machine Learning Lead - Agent Builder Platform at JPMorganChase within Enterprise Technology, AI and Machine Learning & Data Platforms, you will lead the technical design and delivery of agentic AI products and platform capabilities used by engineering teams across the organization.

You will translate high-impact business problems into production-grade solutions, from discovery and design through deployment and ongoing operations.

You will set a high engineering quality bar while partnering closely with product and stakeholder groups to deliver measurable outcomes.

Job responsibilities


* Lead end-to-end delivery of agentic AI and large language model-powered use cases from problem framing and technical design through production deployment and monitoring.


* Own core platform services and reusable components that enable teams to build, evaluate, and operate AI agents safely at scale.


* Establish engineering standards through hands-on system design, rigorous code review, and mentorship to improve reliability, maintainability, and developer experience.


* Build and operationalize evaluation, testing, and observability capabilities (tracing, metrics, logs, and analytics) to continuously improve solution quality.


* Implement robust safety and governance patterns, including guardrails, access controls, and audit-ready operational practices aligned to enterprise expectations.


* Partner with product managers and stakeholders to shape roadmaps, define success metrics, and prioritize work that delivers measurable business impact.


* Drive cross-functional alignment across engineering, data, security, and risk partners to ensure solutions are secure, stable, and scalable.


* Contribute to technical documentation, reference implementations, and enablement content that accelerates adoption and responsible usage.

Required qualifications, capabilities and skills


* Formal training or certification on applied artificial intelligence and machine learning concepts and 5+ years applied experience


* Advanced proficiency in Python with strong software engineering fundamentals, including testing, design patterns, version control, and code review practices.


* Hands-on experience building, evaluating, and deploying machine learning or large language model-enabled systems into production environments.


* Practical experience with prompt engineering and retrieval-augmented generation, including evaluation methods and quality measurement.


* Experience designin...