We are seeking a highly skilled Secure AI Architect to lead high-impact AI security and governance engagements within enterprise Microsoft environments. This role is ideal for professionals who combine deep technical expertise in Microsoft Cloud Security, AI Governance, Compliance, and Identity Architecture with strong executive communication skills.
You will help organizations securely adopt AI technologies including Microsoft Copilot, Copilot Studio, Azure AI Foundry, and Microsoft 365 AI workloads, ensuring compliance, data protection, and responsible AI implementation. [Only bilingual candidates will be considered]
If you are a bilingual Secure AI Architect with deep Microsoft security and AI expertise, apply now and help enterprises deploy AI securely at scale.
Required Qualifications
- 5+ years of experience in Cloud Security, Compliance, or Security Architecture
- Proven enterprise consulting experience within Microsoft ecosystems
- Hands-on expertise in Microsoft 365, Azure Security, and AI governance
- Strong executive communication & stakeholder management skills
- Experience delivering short, outcome-driven consulting engagements
Required Certifications
- Microsoft Certified: Cybersecurity Architect Expert (SC-100)
- Microsoft Certified: Information Protection Administrator (SC-401)
- Microsoft Certified: Azure Security Engineer Associate (AZ-500)
Skills
Must-Have Skills
Microsoft Security & Compliance
- Microsoft Purview
- Microsoft Entra ID
- Microsoft Defender for Cloud Apps
- Azure Policy
- Microsoft 365 Security Administration
- Microsoft Fabric Security
AI & Cloud Security
- Azure AI Foundry
- Microsoft Copilot (M365, Copilot Studio)
- AI Governance Frameworks
- Responsible AI
- Prompt Safety Controls
- Data Loss Prevention (DLP)
- Information Protection & Sensitivity Labeling
Identity & Access Management
- Conditional Access
- Privileged Identity Management (PIM)
- MFA
- Zero Trust Architecture
Compliance & Risk
- GDPR
- ISO 27001
- NIST Framework
- Privacy by Design
- Risk Registers & RACI Models