AI Governance Engineer - Consultancy

Looking for a role with plenty of growth opportunities?

Join one of the world's leading IT services, consulting, and business solutions organization. The company consistently ranks among the top global IT service providers. With a presence in multiple countries across the globe, the company has built a reputation for delivering high-quality technology services across industries including banking, healthcare, telecommunications, and retail. 

Ready to make a move? Get in touch and apply today!

Responsibilities:

• Implement M365 AI governance controls
• Configure and maintain DLP rules, sensitivity labels, Conditional Access policies, and audit logging for AI and Copilot workloads, ensuring controls are aligned to the firm's security posture and regulatory requirements.
• Build and maintain the AI inventory
• Lead AI system discovery and mapping, manage the sanctioning and vetting process for new AI tools, and maintain evidence traceability across the full AI lifecycle to support audit and regulatory review.
• Deploy risk-based governance controls
• Assess AI systems against defined risk categories, apply scoring and treatment frameworks, and ensure controls are traceable to regulatory obligations - including EU AI Act high-risk classifications where applicable.
• Automate governance workflows
• Design and support automated intake, approval, exception handling, and change management workflows using enterprise tooling - reducing manual overhead and improving governance cycle times.
• Cross-functional coordination & reporting
• Act as the connective tissue between Legal, Security, Data Governance, and business teams - consolidating risk inputs, maintaining stakeholder alignment, and preparing dashboards and status reports for senior governance forums.

Requirements:

• M365 AI security & governance
• Hands-on delivery of DLP policies, sensitivity labels, Conditional Access, unified audit log configuration, and app governance for Copilot and AI workloads across M365 tenants.
• AI risk & regulatory frameworks
• Practical experience applying risk-based governance - categorising AI systems by risk tier, defining treatment actions, and aligning controls to EU AI Act obligations or equivalent regulatory frameworks.
• Agentic & network-level AI controls
• Technical understanding of agentic AI policy enforcement - agent triggers, pre-execution checks, safe action boundaries - combined with network-level controls via Zscaler, traffic inspection, and Microsoft Defender telemetry integration.
• Enterprise governance platform integration
• Experience connecting governance processes into platforms such as LeanIX (AI inventory), OneTrust (risk & compliance), and Microsoft Defender - ensuring end-to-end traceability from discovery through to treatment.
• Documentation & stakeholder communication
• Ability to produce clear, audience-appropriate materials - SOPs, runbooks, technical guidance, governance playbooks - as well as exec-ready status reports and dashboards for governance forums.

Contract Details: 

• Initial 6 month contract (Inside IR35)

Location: 

• Hybrid in London

Salary:

• £600-£650 per day