About this role
Lead AI Security Architect defines and drives the enterprise security architecture for AI/ML systems, balancing innovation with risk through governance, threat modeling, and secure development practices across cloud platforms.
Key Responsibilities
- Develop enterprise AI security architecture
- Define secure architectures for AI/ML model development and deployment
- Conduct AI threat modeling and red teaming
- Guide secure training/validation/inference pipelines
- Lead security reviews and architecture boards
Technical Overview
Collaborates on AI governance frameworks (NIST AI RMF, ISO 42001); implements secure model pipelines, data protection, IAM and encryption; evaluates AI security tools; experience with GenAI security testing and GenAI risk management; cloud-native architectures (AWS SageMaker, Azure ML, GCP Vertex AI).
Ideal Candidate
The ideal candidate is a senior cybersecurity architect with 12+ years in security architecture and 3+ years in AI/ML security, familiar with NIST AI RMF, ISO 42001, and responsible AI regulations; adept at leading AI security strategy, threat modeling, and secure development lifecycle across cloud platforms.
Must-Have Skills
Bachelor's Degree or equivalent years of relevant work experienceLegal authorization to work in the U.S.Ability to travel up to 10%Typically requires 12+ years of relevant experience in cybersecurity architecture3+ years focused on AI/ML or data science security
Nice-to-Have Skills
Advanced degree in Computer ScienceEngineeringCybersecurityor related fieldExperience with AI/ML pipelinesMLOpsModel Context Protocol (MPC)Agentic Identityand cloud-native architectures (AWS SageMakerAzure MLGCP Vertex AI)Expertise in data protectionIAMencryptionand secure software developmentKnowledge of AI threat landscapesadversarial MLand model integrity protectionExperience with compliance frameworks such as NIST AI RMFISO/IEC 42001and data privacy regulations (GDPRCCPA)Professional certifications such as CISSPCISMCCSP and enterprise architecture certificationsAI/ML certifications (e.g.TensorFlowAWS ML SpecialtyMicrosoft Azure AI Engineer)Hands-on experience with secure LLM deployments and GenAI security testingExperience in OT or industrial AI environments (IEC 62443 knowledge)
Tools & Platforms
AWS SageMakerAzure MLGCP Vertex AI
Required Skills
Bachelor's Degree or equivalent years of relevant work experience; 12+ years cybersecurity architecture; 3+ years AI/ML security; AI governance frameworks; NIST AI RMF; ISO/IEC 42001; NIST CSF; ISO 27001; IEC 62443; Secure model trainingvalidationand inference pipelines; AI threat modeling; red teaming; Data protection; IAM; encryption; secure SDLC; GDPR; CCPA; CISSP; CISM; CCSP; AWS SageMaker; Azure ML; GCP Vertex AI; GenAI security testing; OT knowledge
Hard Skills
NIST AI RMFISO/IEC 42001NIST CSFISO 27001IEC 62443AI governancemodel trainingvalidationinference pipelinessecure by designGRCData governanceIAMencryptionsecure SDLCCI/CDGenAI security testingLLMOpsMLOpsAWS SageMakerAzure MLGCP Vertex AI
Soft Skills
Technical depthExecutive communicationCross-functional collaborationMentoringStakeholder engagementTeam leadership
Certifications
Required
CISSPCISMCCSP
Preferred
CISSPCISMCCSPenterprise architecture certifications
Keywords for Your Resume
Lead AI Security ArchitectAI security architectNIST AI RMFISO/IEC 42001NIST CSFISO 27001IEC 62443GenAI security testingMLOpsLLMOpsModel Context ProtocolAWS SageMakerAzure MLGCP Vertex AIAI governancedata protectionidentity and access managementencryptionsecure SDLCthreat modelingred teamingEU AI ActGDPRCCPACISSPCISMCCSPOTIEC 62443 knowledgeNIST AI RMF governance
Deal Breakers
Must be legally authorized to work in the U.S., Willingness to travel up to 10%, 12+ years of cybersecurity architecture experience
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