AI Architect

JOB DESCRITION

EXP-5 to 8 years

NP-Immediate Joiners

Secure AI Architect

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