AI Security Architect

TechDigital Group; Bolingbrook (IL); On-site; USD 160,000 - 230,000; Full time

Job summary

TechDigital Group in the United States seeks an experienced AI Security Architect to define target-state architecture for securing AI across data, models, platforms, and applications.

You will set technical standards, lead AI security reviews, and mentor the AI Engineer team, ensuring alignment with NIST AI RMF, ISO/IEC 42001, and OWASP guidelines across on-prem, cloud, and SaaS deployments.

Qualifications

• 8+ years in security or enterprise architecture roles with AI/ML controls.
• Deep understanding of AI/ML system design and related security/privacy risks.
• Strong cloud security, IAM, network segmentation, and zero-trust knowledge.
• Familiarity with NIST AI RMF, ISO/IEC 42001, OWASP Top 10 for LLMs and data privacy regs.
• Ability to communicate architecture decisions to engineers and executives.

Responsibilities

• Define reference architectures and standards for secure AI/ML adoption.
• Lead security reviews for AI initiatives and vendor tools; identify risks.
• Design enterprise patterns for AI guardrails and least-privilege access.
• Collaborate across enterprise to embed AI security controls across on-prem, cloud, SaaS.
• Evaluate emerging AI threats and advise leadership on roadmap priorities.
• Mentor AI engineers on secure design and governance of implementation.
• Contribute to AI governance policy and risk mapping (NIST/ISO/OWASP).

Skills

Security architecture

AI/ML security

Cloud security

Zero-trust

AI governance

Executive communication

Job description

Job Description: The AI Security Architect will define the target-state architecture for securing AI across client - spanning data, models, platforms, and applications. This role sets technical standards and reference architectures that guide how AI is adopted safely at scale and provides deep technical leadership to the AI Engineer team and cross-functional stakeholders on secure AI design.

Key Responsibilities

• Define reference architectures and technical standards for secure AI/ML adoption (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; provide technical governance over implementation to ensure alignment with architecture standards.
• Contribute to AI governance policy, risk frameworks, and control mapping (NIST AI RMF, ISO/IEC 42001, OWASP LLM Top 10) from a technical architecture perspective. Required

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/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.
• 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.