Design secure architectures for LLMs, Microsoft 365 Copilot, generative AI systems, RAG pipelines, and autonomous AI agents.
Define guardrails for Copilot and AI agents, including identity boundaries, access controls, and operational constraints.
Establish governance for prompt security, model input/output filtering, and safe‑use patterns across the enterprise.
Implement ring‑fencing strategies to prevent sensitive data from leaving the company’s network or being accessed by unauthorized AI systems.
Lead secure enterprise adoption of Microsoft 365 Copilot, ensuring alignment with data governance and security policies.
Architect secure AI agent frameworks that automate business processes, knowledge retrieval, and decision support.
Lead the enterprise strategy for Microsoft Purview, ensuring data classification, lineage, and sensitivity labeling support AI and Copilot use cases.

7+ years in information security, cloud architecture, or data governance.
2+ years of hands-on AI experience in an implementation and/or architecture role.
Strong experience and working knowledge of Microsoft Purview, Azure security services, and cloud governance frameworks with a proven track record of implementations.
Strong understanding of LLMs, generative AI, Retrieval-Augmented Generation (RAG) architectures, AI agent frameworks, and Microsoft 365 Copilot.
Proven experience driving business value through Microsoft 365 Copilot, including workflow optimization and measurable productivity gains.
Expertise in identity and access management, data protection, and secure cloud architecture.
Experience implementing ring‑fencing, network segmentation, and data‑boundary controls in Azure or AWS.
Excellent communication faculties, capable of demystifying complex technical paradigms to a varied audience, with both technical and non-technical stakeholders.
Certifications such as Azure Solutions Architect, Azure Security Engineer, CISSP, CCSP, or equivalent.

Information Security AI Architect

Key skills