Senior Lead Software Engineer-AI Foundation Services

As a Senior Lead Software Engineer at JPMorganChase within the AIML Data Platforms – Chief Data and Analytics team, 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. In this role you will get to drive significant business impact through your capabilities and contributions and apply your deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Designs, builds, integrates, and optimizes AI Foundation Services infrastructure components for GenAI and traditional AI/ML platforms, with a focus on production-quality delivery and hands-on engineering execution
Partners with Lines of Business (LOB) application teams to co-develop reusable AI/ML foundational service capabilities, managed service integrations, and platform adoption patterns
Translates Line of Business (LOB) application requirements into clear technical designs, implementation plans, and engineering deliverables that support successful launch and early operational readiness
Helps de-risk AI/ML platform delivery across performance, scale, reliability, and security by contributing to non-functional requirements, test plans, runbooks, observability, and production readiness reviews
Builds reusable engineering assets such as reference implementations, deployment templates, test harnesses, onboarding guides, and GPU/training/serving baselines for model hosting platforms
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing).
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Implements durable, maintainable code solutions and production platform capabilities that can be reused by multiple application teams and extended by other engineers
Collaborates with product, platform, security, infrastructure, and application teams to resolve complex technical issues and deliver AI Foundation Services capabilities aligned to business priorities
Participates in technical design reviews, operational readiness reviews, incident analysis, and continuous improvement activities to improve service reliability, scalability, and developer experience