AI Senior Lead Infrastructure Engineer

Job responsibilities


* 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 JPMorganChase 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 stakeholders: design rationale, tradeoffs, delivery status, risks/issues, and recommended mitigations.


* Mentor engineers through pairing, code/design reviews, and technical coaching; help build sustainable technical leadership depth within the organization.


* Champion JPMorganChase values, including a culture of inclusion, accountability, disciplined execution, and continuous improvement.

Required qualifications, capabilities, and skills


* 5+ years of hands-on software engineering experience delivering enterprise-grade systems (design, build, test, deploy, operate).


* Strong experience building automation platforms/services and integrating with infrastructure operations workflows; experience with AI-assisted automation and/or decision-driven systems is required.


* Experience designing and delivering production solutions with strong non-functional requirements (resiliency, scalability, performance, security, and operational excellence).


* Working knowledge of risk and control considerations in enterprise technology (e.g., SDLC controls, change management, access controls, auditability, data handling).


* Proven ability to lead technical delivery in a matrixed organization: influencing partners, unblocking execution, and driving outcomes across multiple teams/functions.


* Stron...