Sr AI Security Architect

Role : Sr AI Security Architect

Experience level : 7 12 years

Location : Fort Worth, TX, Onsite - Hybrid

Senior AI Security Architect Data Security & DSPM

Role Summary :

Own the end-to-end security architecture for Client Agentic AI platform and carry the data-security mandate for AI. This senior role consolidates two Critical scopes agentic AI security architecture and Data Security Posture Management (DSPM) into a single accountable owner who designs the secure platform and protects the data flowing through it.

Key Responsibilities :

Define and own the agentic AI reference security architecture (v1 and beyond), including Platform 1.0 hardening.

Stand up and operate Microsoft Purview DSPM for AI, accelerated via Microsoft FastTrack.

Establish the sensitivity-label and ML auto-classification baseline; map and govern data flows into and out of agents.

Set architecture standards for agent-to-API and agent-to-data access patterns.

Design and secure agentic AI workloads across a multi-cloud estate spanning Azure and AWS, ensuring consistent controls regardless of where agents are built and run.

Partner with the identity, AppSec, and GRC functions to ensure controls are designed in, not bolted on.

Required Skills & Qualifications :

Deep Azure / M365 security architecture experience; Microsoft Sentinel, Entra, Defender for Cloud.

Hands-on understanding of how to build and secure agents in a multi-cloud setup, including AWS (e.g., Bedrock Agents, AWS Lambda, IAM) alongside Azure.

Hands-on Microsoft Purview DSPM for AI, sensitivity labels, data-flow mapping, ML-based auto-classification.

API and agent architecture security; familiarity with Copilot Studio / agent platforms.

Proven track record designing enterprise-scale secure architectures in a regulated environment.

Preferred Qualifications :

Experience in life sciences, medical device, or other regulated manufacturing.

Relevant certifications (e.g., CISSP, Azure Security Engineer, SC-100).