Lead Architect: AI enablement

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As a Lead Architect at JPMorgan Chase within the Chief Technology Office (CTO) - AI4Tech Scaling team, you are an integral part of a team that works to develop high-quality architecture solutions for various software applications on modern cloud-based technologies.

As a core technical contributor, you are responsible for conducting critical architecture solutions across multiple technical areas within various business functions in support of project goals.

Job responsibilities


* Administer and scale GitHub Copilot and Claude Code platforms across the enterprise with user provisioning, policy enforcement, and usage analytics


* Develop and maintain custom Copilot Skills (i.e., .instructions.md, SKILL.md, etc.) and Agent configurations to encode domain-specific knowledge and team workflows


* Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.


* Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation


* Design and provision cloud infrastructure using Terraform and AWS services, ensuring reliability and compliance


* Develop internal tooling, automation pipelines, and self-service portals to support AI developer tool adoption


* Develop secure, high-quality production code, and review and debug code written by others


* Build reporting dashboards and metrics pipelines to track AI tool usage, productivity impact, and cost optimization


* Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* Hands-on experience delivering system design, application development, testing, and operational stability


* Working knowledge and experience in backend development either Python and/or Java


* Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security


* Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency an...