AI Governance Engineer (Microsoft 365 / Copilot)

– Stable, long-term projects - Competitive salary with a B2B contract - Remote work - Private healthcare and multisport card
Requirements:
– Experience working with AI / LLM / Copilot in an enterprise environment (hands-on or supporting implementations) – Experience with Microsoft 365 / Entra ID – Understanding of security and governance controls (e.g. Conditional Access, access governance, audit logs) – Experience in implementing solutions or controls (not only designing them) – Understanding of governance, risk, and compliance concepts – Ability to work with both technical and business stakeholders Nice to have – Microsoft Purview (DLP, sensitivity labels, information protection) – Experience with Copilot or other enterprise AI tools – Experience in AI use case mapping / inventory – Familiarity with Microsoft Defender or similar security tools – Understanding of agentic AI concepts and control mechanisms
Must have: AI, Security, Audit
Nice to have: DLP, Use case
Daily tasks: - Implement and operationalize AI governance frameworks across the organization, with a focus on Microsoft 365 / Copilot ecosystem
– Build and maintain AI use case inventory (identification, classification, ownership, risk assessment)
– Implement and enforce controls for AI / LLM-based solutions
– Support secure rollout and scaling of Copilot and other AI use cases
– Configure and monitor M365 control mechanisms (Conditional Access, audit logs, app governance)
– Work with data protection tools in AI context (e.g. Microsoft Purview – DLP, sensitivity labels, information protection)
– Design and implement governance workflows (approval, risk assessment, monitoring) for AI systems
– Collaborate with security, legal, compliance, and business teams
– Maintain documentation and reporting related to AI governance and compliance