Full Description & Link to Apply

Description and Requirements

The Team You Will Join

• · What is changing: Global Technology is moving to an AI-first delivery model — agents performing delivery work alongside people, specifications and curated context replacing tribal knowledge, and review, traceability, and control points rebuilt around output that people and agents produce together.
• · Why this role matters: the work of this team will redefine how teams plan, build, review, govern, and deliver technology in an AI-first environment. This role proves that change in live delivery — establishing the practices, patterns, and evidence that show what works, and turning them into assets teams can pick up and run without you.

Key Responsibilities

 • Work AI-first in your own practice and be the visible proof of it. Teams adopt what they see working — your use of AI to build enablement assets, run analysis, and produce working prototypes is itself part of the enablement.

• Run pilot and pathfinder delivery with CIO organizations and delivery teams moving to AI-first — setting entry and exit criteria up front, capturing friction from the field, and calling the point at which a pattern is ready to scale or should be stopped.

• Build and maintain the context libraries and Copilot / agentic patterns that improve AI output quality — curating what pilots produce into governed, versioned assets, and routing field evidence to the standards and operating-model owners.

• Establish spec-driven development practice — the specification, plan, and task artifacts that give agents reliable context — and set the review standards that make agent output traceable back to intent.

• Author the enablement assets teams work from without you — playbooks, role guides, worked examples, and troubleshooting references — and enable teams directly across GitHub Enterprise, work management, and CI/CD through working sessions, pairing on live work, and time-boxed office hours, so teams reach independence rather than standing support.

• Work directly with Enterprise DevSecOps, Platform Engineering, and Enterprise Architecture on the gaps pilots expose — toolchain limitations, integration breaks, licensing and permissioning constraints, and standards conflicts — so platform capability and delivery practice advance together.

• Instrument pilots for measurement — flow and engineering-effectiveness metrics alongside AI-specific indicators such as rework ratio, review burden, and verification overhead — so adoption claims rest on evidence.

• Scale adoption beyond direct contact — build and run a champion and practitioner network, create clear enablement messaging, and partner with Learning & Development on role-based learning pathways and content.

Required Qualifications

 • Hands-on experience with agentic AI frameworks and coding agents — GitHub Copilot, Copilot Coding Agent, Claude Code, or comparable — covering context and prompt engineering, tool and MCP integration, multi-agent orchestration, permissioning, output validation, human review patterns, and quality guardrails.

• Working experience with spec-driven development or comparable structured-context practices that make agent output predictable, reviewable, and traceable to intent, applied in real delivery and documented as reusable patterns.

• 8+ years in software engineering or technical product roles, with credibility earned through direct participation in software delivery, DevSecOps, platform enablement, or developer experience — and the ability to speak credibly to both engineering practitioners and senior technology leaders.

• Working command of the enterprise delivery toolchain these practices run on — GitHub Enterprise, CI/CD pipelines, pull request and branching strategy, and work-item traceability — including what it takes to make them interoperate in a governed environment.

• Experience designing and running pilots that produce decisions — setting entry and exit criteria, instrumenting them with frameworks such as DORA, SPACE, or DX Core 4, and stopping approaches that do not hold up rather than carrying them forward.

Preferred Qualifications

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $130,000 - $160,000. This role may also be eligible for annual short-term incentive compensation. All incentives and benefits are subject to the applicable plan terms.