- Define and lead the enterprise security strategy and architecture for AI-powered systems and Azure cloud environments.
- Establish and govern security controls, guardrails, and runtime protections for agentic AI workflows.
- Lead threat modeling efforts for AI systems and Azure-hosted workloads to identify and mitigate risks.
- Evaluate AI-generated and cloud-integrated code for security, quality, correctness, and performance.
- Architect and oversee security tooling and monitoring for AI agents and Azure resources at scale.
- Embed security governance into the software development lifecycle and Azure DevSecOps pipelines.
- Research emerging AI and cloud security threats and translate insights into actionable enterprise strategies.
- Mentor and influence engineering teams on secure AI adoption and cloud security best practices.
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