AI Security Consulting Director

CNA Insurance; Chicago (IL); On-site; USD 97,000 - 189,000; Full time

Job summary

The Consulting Director, AI Security at CNA Insurance leads hands-on reviews of AI initiatives across the enterprise. You will assess AI/ML architectures, write evaluation criteria for RFIs/RFPs, and validate security controls in GenAI and LLM programs with engineering and cloud security partners.

You will apply industry frameworks (NIST AI RMF, OWASP Top 10 for LLMs) and help integrate security into SDLC and DevSecOps, ensuring secure AI deployments while balancing risk and innovation.

Qualifications

• Bachelor’s degree in a technical field; 5+ years in information security.
• Hands-on experience with public cloud security (AWS, Google Cloud).
• Certifications such as CISSP, CCSP, GIAC are preferred.

Responsibilities

• Serve as AI Security reviewer, providing security perspective on AI threats.
• Conduct architecture/design reviews of AI/ML, GenAI, LLM initiatives.
• Write and maintain evaluation criteria for RFIs/RFPs on AI security tooling.
• Test and benchmark AI security solutions through proofs of concept.
• Perform threat modeling and security risk assessments of AI systems.

Skills

AI/ML security

GenAI security

LLM security

Security architecture

Cloud security

DevSecOps

Risk assessment

Technical communication

Independent work

Education

Bachelor’s Degree

Job description

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential.

The Consulting Director, AI Security is a hands‑on technical contributor responsible for reviewing, evaluating, and validating AI initiatives across CNA’s enterprise. This role performs architecture and design reviews of AI, Machine Learning (ML), Generative AI (GenAI), Large Language Model (LLM), and agentic solutions; develops technology evaluation criteria for RFIs/RFPs; and tests and validates candidate solutions against security requirements. As part of the AI Governance review process, this role is a representative of the AI Security team and provides the technical security perspective on AI threats — focusing on the technical security assessment rather than governance, risk, or compliance functions, which are owned by dedicated teams. The specialist applies deep technical expertise to identify risks in AI systems and data pipelines and recommends practical controls and remediations, partnering closely with the AI Security team, Engineering, Cloud Security, Application Security, IAM, Data Security, and AI Governance.

Essential Duties & Responsibilities

• Serve as the AI Security team’s technical reviewer within 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 tooling 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 cloud environments (AWS, Google Cloud) and recommend secure configurations.
• Apply industry standards and frameworks (e.g., NIST AI RMF, OWASP Top 10 for LLMs, 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 their compliance and regulatory work.
• Track emerging AI threats, attack techniques (e.g., prompt injection, data poisoning, model extraction), and defensive practices.

Reporting Relationship

Typically reports to Director or above.

Skills, Knowledge & Abilities

• Strong working knowledge of AI/ML, GenAI, and LLM security concepts and common attack/defense techniques.
• Hands‑on experience with security architecture and design reviews.
• Solid understanding of cloud security (AWS, Google Cloud) 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.

Education & Experience

• Bachelor’s Degree required; relevant technical disciplines preferred.
• 5+ years of information security experience, including exposure to cloud and AI/ML environments.
• Hands‑on experience with public cloud security (AWS, Google Cloud).
• Relevant certifications preferred (CISSP, CCSP, GIAC, or AI/cloud security credentials).
• Insurance or financial services experience preferred.

#LI-Hybrid #LI-DM1

In certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia, California, Colorado, Connecticut, Illinois, Maryland, Massachusetts, New York and Washington, the national base pay range for this job level is $97,000 to $189,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.

• CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com.

CNA utilizes AI-enabled technology during the recruiting process. For more information, please visit our careers page.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact [e-mail].

At CNA, we are focused on success, individually and collectively. We pride ourselves on promoting a culture that challenges and engages people. We strive to connect people, departments and business areas, to function as a team, and to serve our customers and communities with professionalism and respect. Our dedication to employee engagement, continuous learning and the open exchange of ideas is the cornerstone of our business. These ideals, combined with our focus on the customer, enable us to explore new market opportunities and build on our success. Our values, culture and financial strength are what differentiates us from other employers and make CNA the place you want to work. At CNA, we are committed to advancing a culture of inclusion – one that attracts talent from all walks of life, fosters respect and collaboration, and enables all of our colleagues to do their best work. At CNA, we have a long standing commitment to the diverse communities in which we live and work. We actively make a difference for the greater good through partnerships, sustainability, initiatives, and working together for a better tomorrow. Corporate Social Responsibility is not one person, or one department, it's the entire enterprise coming together to make the world a better place.