AI Security Architect

Security Architecture For AI/ML

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

• 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/GCP), 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.
• Strong verbal and written communication skills to convey architecture decisions to both engineering teams and executive stakeholders.

Responsibilities:

• Define reference architectures and technical standards for secure AI/ML adoption including data governance, model lifecycle security, LLM/agentic AI security, network and identity boundaries.
• Lead security architecture reviews for new AI initiatives, products, and vendor tools, identifying risks and required controls prior to launch.
• Design enterprise patterns for AI guardrails, output validation, human-in-the-loop controls, and least-privilege access for AI agents and services.
• Partner with enterprise architecture, data platform, and infrastructure teams to ensure AI security controls are embedded consistently across on-prem, cloud, and SaaS AI deployments.
• Evaluate emerging AI security threats and technologies, advising leadership on architectural implications and roadmap priorities.
• Mentor the AI Engineer team on secure design practices and provide technical governance over implementation to ensure alignment with architecture standards.
• Contribute to AI governance policy, risk frameworks, and control mapping such as NIST AI RMF, ISO/IEC 42001, and OWASP LLM Top 10 from a technical architecture perspective.

Nice to Have:

• Architecture certifications such as SABSA or TOGAF.
• Security certifications such as CISSP or CCSP.
• Experience building AI/ML platforms or securing generative AI/agentic AI deployments at enterprise scale.
• Retail or large consumer-brand enterprise experience.

Skills:

• AI/ML.
• Security Architecture.
• Enterprise Architecture.
• Data Governance.
• Model Lifecycle Security.
• LLM Security.
• Agentic AI Security.
• Azure.
• AWS.
• GCP.
• Identity and Access Management.
• Network Segmentation.
• Zero-trust Principles.
• NIST AI RMF.
• ISO/IEC 42001.
• OWASP LLM Top 10.
• MLOps.

Qualification And Education:

• 8+ years of experience in security or enterprise architecture.
• Experience with AI/ML or data platform security controls.