AI Tooling Administrator

Hands-on experience administering enterprise AI platforms such as Microsoft Copilot, GitHub Copilot, Anthropic Claude Enterprise/Claude Code, Google Gemini, Azure AI Foundry, or similar enterprise AI solutions.

Strong understanding of AI/LLM technologies, enterprise AI use cases, AI governance, and responsible AI principles.

Experience managing AI platform licensing, entitlements, token consumption, and cost optimization initiatives.

Strong knowledge of identity and access management, tenant administration, machine identities, RBAC, and user lifecycle governance.

Experience implementing governance, security, compliance, and data protection controls within enterprise platforms.

Experience operating within security-controlled environments and collaborating with SecOps and Cyber Security teams.

Experience working with AI Governance, Security, Architecture, FinOps, Procurement, and Business stakeholders to balance risk, compliance, cost, and business value.

Strong stakeholder management, communication, influencing, and expectation management skills.

Ability to translate technical platform capabilities into measurable business outcomes.

Experience driving adoption, enablement, operational excellence, and governance for enterprise technology services.

Microsoft 365 Certified: Copilot and Agent Administration Fundamentals.

Azure AI Fundamentals (AI-900).

GitHub Administration Certification.

GitHub Copilot Certification.

Google Cloud Generative AI Leader.

Experience with multi-vendor AI ecosystems comprising Microsoft Copilot, GitHub Copilot, Anthropic Claude, Google Gemini, Azure AI Foundry, and Agentic AI platforms.

Experience with API-led integration architectures, plugins, connectors, and enterprise integration governance.

Familiarity with Agentic AI, MCP-enabled platforms, machine identity, AI agents, and enterprise automation ecosystems.

Experience supporting FinOps practices, AI cost governance, and consumption optimisation programmes.

Experience building AI adoption frameworks, governance processes, and controls to minimise shadow AI usage.

Familiarity with emerging AI regulations, governance frameworks, and responsible AI standards.