Quick overview
Job description
We're working with a cutting edge consultancy who are supporting a public sector organisation with the secure rollout and governance of AI-enabled developer tooling, including GitHub Copilot, Copilot CLI, GitHub CLI and MCP (Model Context Protocol) servers.
This is a unique opportunity to sit at the intersection of AI, developer productivity, security and governance , helping define how technologies such as GitHub Copilot, GitHub Enterprise, Copilot CLI and MCP (Model Context Protocol) servers are deployed and managed in a secure enterprise environment.
Key Responsibilities
- Administer and configure GitHub Enterprise, GitHub Copilot and Copilot CLI.
- Evaluate, test and govern MCP servers, including GitHub, Jira and Confluence integrations.
- Implement AI security controls, access policies and approval processes.
- Conduct threat modelling and AI risk assessments in partnership with Cyber Security teams.
- Define governance processes for onboarding and approving AI tooling.
- Produce SOPs, technical documentation and knowledge-transfer materials.
- Monitor AI platform updates and ensure alignment with organisational AI governance standards.
Key Skills
- Experience with GitHub Copilot, AI developer tooling or AI platform enablement.
- Understanding of MCP (Model Context Protocol) or AI tool integrations.
- Threat modelling, security governance and risk management.
- Strong technical documentation and stakeholder engagement skills.
- AI governance or responsible AI frameworks.
- DevSecOps or Platform Engineering background.
- Jira, Confluence and Atlassian ecosystem.
- Public sector, NHS or regulated environment experience.
This is a fantastic opportunity to shape how AI tooling is adopted at scale, sitting at the intersection of AI enablement, platform engineering, security and governance .
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