Security AI Architect - with English and French

Job Title:

Job Description

Key Responsibilities

• Lead customer workshops to assess AI readiness from identity, data, and compliance perspectives.

• Define and articulate AI governance frameworks covering policy, access, data protection, and risk management.

• Translate complex Microsoft security and compliance capabilities (Entra ID, Purview, Defender, M365, Azure AI) into actionable recommendations.

• Advise on the secure enablement of generative AI tools such as Microsoft Copilot, Copilot Studio, and Azure AI Foundry

• Design pragmatic approaches for data boundary enforcement, labeling, DLP, and prompt-safety controls.

• Review identity and access management for AI workloads—MFA, Conditional Access, privileged identity controls, and just-in-time elevation.

• 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.

Required Qualifications

• 5+ years cloud security, compliance, or architecture, ideally in Enterprise Microsoft environments.

• Proven experience advising enterprise customers on secure adoption of M365 & AI workloads (Copilot, Copilot Chat, Copilot Studio, AI Foundry).

• Deep hands-on knowledge of security, governance & management on Microsoft Purview, Microsoft Fabric, AI Foundry, Microsoft 365 Administration

• Working hands-on knowledge of security, governance & management on Microsoft Entra, Defender for Cloud Apps, Azure Policy

• Understanding of responsible AI principles, privacy by design, and regulatory alignment (GDPR, ISO, NIST).

• Strong ability to lead short, outcome-driven consulting engagements and communicate with executives.

• Excellent written and verbal communication skills, capable of simplifying complex security & governance topics.

Preferred experience

• Previous consulting or customer-facing experience at a major Microsoft partner.

• Familiarity with AI governance frameworks, model risk management, and data-driven decisioning.

• Working knowledge of Azure AI, AI Foundry, Microsoft Fabric security and compliance configurations.

• Experience in building RACI models, acceptable-use policies, or risk registers for AI or cloud platforms.

• 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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