AI Engineer

About the role

Serve as a senior individual contributor and technical authority for enterprise AI developer enablement. Define enterprise strategy for AI-assisted tools in partnership with AI Council and Enterprise Architecture. Design and execute hands-on proofs of concept evaluating technical fit, security posture, and developer impact. Own GitHub Enterprise and AI tool platforms, defining standards, best practices, and guardrails for scalable, secure DevSecOps and AI-assisted workflows. Act as a developer advocate, leading training, enablement, and documentation. Define and track productivity and quality metrics, measuring AI tooling impact and communicating outcomes to senior leadership.

Responsibilities

• Define enterprise strategy for AI-assisted tools in partnership with AI Council and Enterprise Architecture
• Design and execute hands-on proofs of concept evaluating technical fit, security posture, and developer impact
• Own GitHub Enterprise and AI tool platforms, defining standards, best practices, and guardrails for scalable, secure DevSecOps and AI-assisted workflows
• Act as a developer advocate, leading training, enablement, and documentation
• Define and track productivity and quality metrics, measuring AI tooling impact and communicating outcomes to senior leadership

Requirements

• Minimum six (6) years of experience with software development lifecycle (SDLC) implementations
• Strong background in Developer Experience, DevSecOps, or Platform Engineering
• Expertise in AI-assisted developer tooling (e.g., GitHub Copilot, Claude Code, Cursor)
• Proven ability to define strategy and lead through influence in a non-people-manager role
• Experience with governance, usage policies, lifecycle management, and vendor relationship management for technical platforms
• Ability to collaborate with cross-functional teams including Information Security, Privacy, and Legal

Qualifications

• Minimum six (6) years of experience with software development lifecycle (SDLC) implementations
• Strong background in Developer Experience, DevSecOps, or Platform Engineering
• Expertise in AI-assisted developer tooling (e.g., GitHub Copilot, Claude Code, Cursor)
• Proven ability to define strategy and lead through influence in a non-people-manager role
• Experience with governance, usage policies, lifecycle management, and vendor relationship management for technical platforms
• Ability to collaborate with cross-functional teams including Information Security, Privacy, and Legal

Skills

• Software development lifecycle (SDLC) implementations
• Developer Experience, DevSecOps, or Platform Engineering
• AI-assisted developer tooling (e.g., GitHub Copilot, Claude Code, Cursor)
• Strategy definition and influence
• Governance, usage policies, lifecycle management, and vendor relationship management for technical platforms
• Cross-functional collaboration including Information Security, Privacy, and Legal

Benefits

• Opportunity to shape the future of AI developer experience within a large enterprise
• Influence technical direction and lead strategic initiatives
• Engage with cutting-edge AI technologies and developer tools
• Part of a dynamic and innovative team

Pay

TBD

Schedule

TBD