Job Description
Secure AI Consultant at Concentrix
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.
- 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
- 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.
- 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 registersExposure to FinOps or cost optimization in Microsoft 365 and Azure environments.
- 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.
- Mid‑Senior level
- Full‑time
- Engineering and Information Technology
- IT Services and IT Consulting
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