AI Senior Lead Software Engineer

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platform AI Automation Mainframe and Midrange 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.

Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities



* 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) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.


* 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.


* Lead the design and delivery of AI-enabled capabilities for Mainframe and Midrange systems management, focusing on intelligent automation that improves stability, efficiency, and operator experience.


* Translate the Advanced Capabilities Engineering tower strategy into executable technical plans, epics, and implementation roadmaps for assigned initiatives.


* Architect, build, and maintain agentic AI solutions that automate manual or repetitive infrastructure management tasks, ensuring solutions are secure, auditable, and production-grade.


* Own end-to-end engineering delivery for features/services you lead: requirements clarification, solution design, build, testing strategy, rollout, monitoring, and operational readiness.


* Partner with operations, SRE, architecture, risk, and control functions to ensure AI capabilities are implemented safely, transparently, and in alignment with policies and regulatory expectations.


* Establish and follow strong engineering standards (design reviews, coding practices, CI/CD, documentation, observability, and incident readiness), and help uplift consistency across the team.


* Drive reliability outcomes by ensuring solutions meet resiliency, scalability, performance, and security objectives-enhancing service reliability and operational effectiveness without introducing unmanaged risk.


* Contribute to tooling strategy and vendor/product evaluations by prototyping, performing technical due diligence, and recommending fit-for-purpose approaches for Mainframe/Midrange automation.


* Provide clear technical communication to st...