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Location: Boston, Massachusetts (Onsite)
Employment Type: Contract
Experience Level: Mid–Senior (7+ years)
We are recruiting on behalf of a leading enterprise technology organization seeking a GitHub Copilot Lead to drive large-scale adoption of AI-assisted development across legacy and modern systems.
This role is ideal for a senior technical leader experienced in Generative AI, developer tooling, and enterprise software environments who can guide teams through transformation initiatives and improve engineering productivity using AI.
You will lead the strategy, rollout, and enablement of GitHub Copilot and related AI tools across multiple engineering teams. The role focuses on adoption in environments with significant legacy codebases including Java, .NET, and C/C++.
You will work closely with engineering leaders, architects, and developers to implement best practices, measure outcomes, and build scalable frameworks for AI-assisted development.
Develop and execute a strategy for GitHub Copilot adoption across engineering teams
Identify opportunities to improve developer productivity and code quality using AI tools
Lead end-to-end implementation of Copilot features and custom agents
Define and track adoption metrics and KPIs
Work with stakeholders to support change management and developer enablement
Design and deliver training programs for engineering teams
Provide technical leadership in environments with legacy systems and modern architectures
Collaborate with cross-functional teams to integrate AI solutions with enterprise applications
8+ years of experience in technical leadership roles
Strong hands-on experience with Java, .NET, and C/C++ environments
Proven experience implementing or leading GitHub Copilot or similar Generative AI tools
Experience applying Generative AI in business or engineering environments (7+ years preferred)
Strong project management and stakeholder communication skills
Bachelors degree in Computer Science, Information Technology, or related field (or equivalent experience)
Must be authorized to work in the United States
Ability to work onsite in Boston, MA
Experience in large enterprise or legacy modernization environments
Experience defining KPIs and measuring engineering productivity improvements
Experience designing training or enablement programs for engineering teams
Please apply with your Resume (PDF preferred).
Qualified candidates will be contacted with additional details about the client and next steps.
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