AI Architect

Qualifications
8+ years in security architecture or enterprise architecture roles, including recent experience architecting controls for AI/ML or data platforms.
Deep understanding of AI/ML system design (data pipelines, model training/serving, MLOps) and associated security and privacy risks.
Strong grasp of cloud security architecture (Azure and/or AWS/Google Cloud Platform), identity and access management, network segmentation, and zero-trust principles.
Familiarity with AI governance and security frameworks: NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLM Applications, and applicable data privacy regulation.
Demonstrated ability to communicate architecture decisions to both engineering teams and executive stakeholders.

Preferred Qualifications
Architecture certifications (SABSA, TOGAF) and/or security certifications (CISSP, CCSP).
Experience building AI/ML platforms or securing generative AI/agentic AI deployments at enterprise scale.
Retail or large consumer-brand enterprise experience.