Principal Architect, AI-Native Security

Qualifications

• 8–12 years in solutions architecture; T-shaped profile with deep expertise across both AI/ML systems and security architecture, and enough breadth across the broader technology landscape to contribute credibly beyond the security domain when needed
• Can design agentic AI systems from scratch AND identify their attack surface without needing a security person to translate
• Comfortable getting hands dirty — uses AI-assisted development tools to prototype and validate ideas quickly; treats implementation as a thinking tool, not just a downstream deliverable
• Proactive and curious by default — tracks the AI security landscape independently, brings new ideas to the practice without waiting to be asked, and finds ways to move fast in ambiguous situations
• Deep cloud architecture experience (Azure, AWS, or GCP) with security-native design patterns: zero trust, least privilege, IAM/NHI design
• Familiarity with MITRE ATT&CK, OWASP (traditional and Agentic Top 10), NIST AI RMF — able to apply them in architecture design, not just cite them
• Strong SDLC and DevSecOps architectural knowledge — understands where security controls fit in the development lifecycle
• Executive presence — can hold a room with a CTO and CISO simultaneously and keep both engaged
• Experience in professional services, consulting, or managed services delivery — knows how to scope work, protect margin, and manage client expectations
• Demonstrated ability to define and own SOW language, acceptance criteria, and delivery phasing
• Bonus: prior experience building or growing a practice, not just delivering into one
• Bonus: experience with WWT partner ecosystem (Palo Alto Prisma, Microsoft Defender, Cisco Hypershield, Snyk)
• Bonus: delivered at an enterprise IT services firm (Accenture, Deloitte, Cognizant, KPMG, IBM)

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