Secure AI Consultant

We’re looking for a Cloud Security & AI Governance Architect with deep expertise in the Microsoft ecosystem to advise enterprise customers and lead strategic AI security initiatives.

• Lead customer workshops to assess AI readiness, focusing on identity, data, and compliance.
• Define and implement AI governance frameworks addressing policy, access control, data protection, and risk management.
• Translate Microsoft security and compliance capabilities (Entra ID, Purview, Defender, M365, Azure AI) into actionable recommendations.
• Advise on secure adoption of generative AI tools such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry.
• Design approaches for data boundary enforcement, labeling, DLP, and prompt-safety controls.
• Review identity and access management for AI workloads, including MFA, Conditional Access, and privileged identity controls.
• Recommend monitoring, auditing, and incident-response strategies for AI misuse or data leakage.
• Present findings and next steps to IT management stakeholders with clear business and compliance implications.

Top Skills & Expertise:

• Cloud Security Architecture within the Microsoft ecosystem
• AI Governance Framework Design and responsible AI deployment
• Compliance & Regulatory Alignment (GDPR, ISO/IEC 42001, NIST AI RMF)
• Microsoft Purview & Fabric for data classification, labeling, and DLP
• Consulting & Executive Communication
• Incident Response & Monitoring Strategy
• Program Delivery & Stakeholder Engagement.

Required Qualifications:

• 5+ years in cloud security, compliance, or architecture, ideally in enterprise Microsoft environments
• Experience advising enterprise customers on secure adoption of M365 & AI workloads (Copilot, Copilot Studio, AI Foundry)
• Hands-on knowledge of Microsoft Entra, Defender for Cloud Apps, Azure Policy, Microsoft Purview, Microsoft Fabric, and M365 Administration
• Strong understanding of responsible AI, privacy by design, and regulatory compliance
• Excellent written and verbal communication skills for executive-level engagement.

Preferred Experience:

• Consulting or customer-facing experience at a major Microsoft partner
• Familiarity with AI governance frameworks, model risk management, and data-driven decisioning
• Experience with RACI models, acceptable-use policies, or risk registers
• Exposure to FinOps or cost optimization in Microsoft 365 and Azure environments.

Required Certifications:

• Microsoft Certified: Cybersecurity Architect Expert (SC-100)
• Microsoft Certified: Information Protection Administrator (SC-401)
• Microsoft Certified: Azure Security Engineer Associate (AZ-500)
• Bonus: Microsoft Certified: Azure AI Engineer Associate (AI-102) or equivalent.

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