AI Security Architect

Cynet Systems • Bolingbrook, IL

5d

About The Position

We are seeking an experienced AI Security Architect to define and implement security strategies for our AI/ML initiatives. This role involves architecting controls for AI/ML systems and data platforms, ensuring robust security and privacy throughout the model lifecycle. You will collaborate with various teams to embed security best practices and provide technical governance over AI deployments.

Requirements

• 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.
• Experience with AI/ML or data platform security controls.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed