AI Security Architect
Job Summary
Leading the end-to-end security architecture for the Agentic AI platform, the full-time AI Security Architect will design secure systems, manage data security mandates, and ensure compliance across multi-cloud environments.
Key responsibilities
- Define and own the agentic AI reference security architecture, including Platform 1.0 hardening
- Operate Microsoft Purview DSPM for AI and establish sensitivity-label and ML auto-classification baselines
- Design and secure agentic AI workloads across Azure and AWS, ensuring consistent security controls
Required qualifications
- 10-15 years of experience in AI security architecture, particularly with Azure and M365
- Hands-on experience with Microsoft Purview DSPM, sensitivity labels, and data-flow mapping
- Proven ability to design enterprise-scale secure architectures in regulated environments
- Familiarity with API and agent architecture security, including Copilot Studio
- Experience securing agents in multi-cloud setups, including AWS
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