Lead the GitHub Copilot rollout and training, create adoption standards, coach developers, and improve AI usage in development workflows.
Copilot Adoption & Enablement
- Lead GitHub Copilot rollout across engineering teams (setup, licensing, security, governance).
- Define Copilot usage standards, guardrails, and prompt engineering best practices.
- Design Copilot playbooks for different roles: backend, frontend, QA, DevOps, data, and architects.
- Establish measurable adoption and productivity KPIs.
Developer Coaching
- Run live training sessions, workshops, and office hours.
- Provide 1:1 and team-level coaching on advanced Copilot usage.
- Teach developers how to:
- Write high-quality prompts
- Use Copilot for refactoring, testing, debugging, and documentation
- Combine Copilot with Chat-based AI tools effectively
- Create reusable learning material: guides, videos, cheat sheets, examples.
Hands-On Engineering
- Actively use Copilot in real development workflows.
- Demonstrate best practices by coding alongside teams.
- Prototype Copilot-accelerated workflows in:
- API development
- Integration work
- Test automation
- Data transformations
- Legacy code modernization
Implementation & Integration
- Configure Copilot with GitHub orgs, repos, security controls, and IDEs.
- Ensure alignment with:
- Code quality standards
- Security and compliance
- SDLC processes
- Work with DevOps and security teams to ensure safe AI usage.
AI Developer Experience Strategy
- Advise leadership on:
- AI maturity models for engineering teams
- Roadmap for AI-augmented SDLC
- Tooling beyond Copilot (Claude, Cursor, ChatGPT, etc.)
- Identify friction points and continuously optimize developer experience.
NextAmp Boston, Massachusetts, USA Office
75 State Street, Suite 100, Boston, MA, United States, 02109
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What you need to know about the Boston Tech Scene
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