Job Title
Security AI Architect - with English and (English, Italian, French, German and Spanish)
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
Location: EGY Work-at-Home
Language Requirements:
Time Type:
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