AI Transformation & Developer Enablement Lead

AI Transformation & Developer Enablement Lead

We are seeking aSenior DevOps Leader with a strong software development background and hands-on experience with GitHub and its Agentic AI ecosystem. This individual will drive enterprise-wide adoption of AI-powered engineering practices, modernize software delivery, and enable development teams to maximize the value of GitHub Copilot, Coding Agents, and AI-native workflows.

Key Responsibilities

• Lead enterprise adoption ofGitHub Copilot, Coding Agents, and AI-native engineering practices, driving measurable improvements in development productivity and software delivery outcomes.
• Assess AI readiness and engineering maturity across development, QA, DevOps, and platform teams, identifying capability gaps and defining transformation roadmaps.
• ImplementAI-Driven Software Development Lifecycle (AI-DLC) operating models leveraging GitHub Enterprise, GitHub Actions, Copilot, and modern developer platforms.
• Drive adoption ofagentic and spec-driven engineering workflows across the end-to-end lifecycle, from planning and requirements through development, testing, deployment, and operations.
• Execute Agentic AI transformation programs, including champion networks, wave-based enablement, organizational change management, and large-scale onboarding.
• Design and enable Agentic AI solutions and workflows utilizing concepts such as multi-agent orchestration, MCP integrations, AI assistants, and workflow automation within the GitHub ecosystem.
• Lead developer enablement and capability uplift initiatives through hands-on coaching, workshops, office hours, and adoption acceleration activities.
• Integrate AI-powered automation into CI/CD and platform engineering workflows, leveraging GitHub Actions and developer platform capabilities to improve quality, velocity, and operational efficiency.
• Define business use cases, success metrics, ROI measures, and adoption KPIs to demonstrate the value of AI transformation through productivity gains, code quality improvements, engineering effectiveness, and business outcomes.

Skills – GitHub & AI-DLC Transformation

• GitHub Enterprise Cloud (GHEC) / Managed Users (EMU), Repository & Organization Administration
• GitHub Copilot, Copilot Agents, AI-Assisted Software Engineering
• Agentic AI, Multi-Agent Workflows, MCP (Model Context Protocol), RAG, AI Workflow Orchestration
• Spec-Driven Development, Agent-Assisted Engineering
• AI Readiness Assessments, Adoption Roadmaps, Change Management, Engineering Enablement, Copilot Adoption Analytics & KPI Measurement
• GitHub Actions, Workflow Automation, CI/CD Modernization, Reusable Workflows
• GitHub Advanced Security (GHAS), Secret Scanning, Secure AI-Native SDLC Practices

Experience Required

• 8+ years of industry experience, including6+ years leading DevOps transformation, software engineering enablement, and enterprise-scale adoption programs across complex technology organizations.
• Proven expertise in conducting discovery and readiness assessments, evaluating tool adoption, GitHub Copilot usage, SDLC maturity, development workflows, testing practices, deployment processes, and developer productivity challenges.