CNA

CNA

AI Security Consulting Director

Chicago, IL, USA · Director

Sponsorship not specified$97k-$189kDetected 14 days ago
AWSGCPCloud PlatformsCI/CDMachine LearningData EngineeringNLPLLMsCybersecurityLeadershipCommunicationProblem SolvingCISSP

About the role

  • You have a clear vision of where your career can go.
  • And we have the leadership to help you get there.
  • The Consulting Director, AI Security is a hands-on technical contributor responsible for reviewing, evaluating, and validating AI initiatives across CNA's enterprise.

Responsibilities

  • 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.
  • Support integration of AI security controls into SDLC, CI/CD, and DevSecOps workflows.
  • Provide technical security input to Risk, Legal, and AI Governance teams to support their compliance and regulatory work.
  • Ability to design and execute solution testing, proofs of concept, and technical validations.
  • Ability to work independently and manage multiple concurrent reviews.
  • 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.

Requirements

  • Hands-on experience with security architecture and design reviews.
  • Bachelor's Degree required; relevant technical disciplines preferred.
  • Hands-on experience with public cloud security (AWS, Google Cloud).

Compensation

  • I n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role.

This listing is sourced directly from CNA's careers page and normalized into a canonical job model.