AI Security Consulting Director
About The Position
The Consulting Director, AI Security is a hands-on technical contributor who reviews, evaluates, and validates AI initiatives across CNA’s enterprise. The role conducts architecture and design reviews of AI, machine learning, generative AI, large language model, and agentic solutions; develops evaluation criteria for RFIs and RFPs; and tests candidate solutions against security requirements. As the AI Security team’s representative in the AI Governance review process, the role provides a technical perspective on AI threats and security assessments, while governance, risk, and compliance functions remain the responsibility of dedicated teams. The specialist identifies risks in AI systems and data pipelines and recommends practical controls and remediations. The position works closely with AI Security, Engineering, Cloud Security, Application Security, IAM, Data Security, and AI Governance teams. It also contributes to security standards, reference architectures, DevSecOps integrations, vulnerability management, monitoring, and incident readiness, and provides technical security input to Risk, Legal, and AI Governance teams.
Requirements
- Bachelor’s degree required; relevant technical disciplines preferred.
- At least 5 years of information security experience, including exposure to cloud and AI/ML environments.
- Hands-on experience with public cloud security, specifically AWS and Google Cloud.
- Strong working knowledge of AI/ML, GenAI, and LLM security concepts and common attack and defense techniques.
- Hands-on experience with security architecture and design reviews.
- Solid understanding of cloud security and secure cloud configurations.
- Familiarity with DevSecOps practices and secure software development.
- Ability to design and execute solution testing, proofs of concept, and technical validations.
- Ability to write clear evaluation criteria, technical assessments, and review documentation.
- Ability to translate technical risk into actionable recommendations.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple concurrent reviews.
Nice To Haves
- Relevant certifications such as CISSP, CCSP, GIAC, or AI/cloud security credentials.
- Insurance or financial services experience.
- Relevant technical discipline for the required bachelor’s degree.
Responsibilities
- Serve as the AI Security team’s technical reviewer in the AI Governance review process, providing the security perspective on AI threats and risks.
- Conduct architecture and design reviews of AI/ML, GenAI, LLM, and agentic initiatives, documenting findings, risks, and recommended controls.
- Write and maintain technology evaluation criteria for RFIs and RFPs covering AI security tools and solutions.
- Test, validate, and benchmark candidate AI security solutions through proofs of concept and hands-on assessments.
- Perform threat modeling and security risk assessments of AI systems, models, and data pipelines.
- Evaluate AI workload security across AWS and Google Cloud environments and recommend secure configurations.
- Apply industry standards and frameworks such as NIST AI RMF, OWASP Top 10 for LLMs, and MITRE ATLAS to reviews and assessments.
- Contribute to AI security standards, reference architectures, and best-practice guidance.
- Support integration of AI security controls into SDLC, CI/CD, and DevSecOps workflows.
- Assist with vulnerability management, security monitoring, and incident readiness for AI systems.
- Provide technical security input to Risk, Legal, and AI Governance teams to support compliance and regulatory work.
- Track emerging AI threats, attack techniques, and defensive practices.
Benefits
- Comprehensive and competitive benefits package intended to support employees’ and family members’ physical, financial, emotional, and social wellbeing.
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What This Job Offers
Job Type
Full-time
Career Level
Director
