Consulting Director, AI Security

@ 2T Consulting
2T Consulting2tconsulting.com

Consulting Director, AI Security

Chicago, Illinois
Posted today

About the job

The company specializes in AI security consulting, focusing on cloud, AI/ML, and risk management. The role involves defining security strategies, leading assessments, and ensuring compliance across enterprise AI and cloud platforms.

Requirements

  • 10+ years in information security
  • Experience with cloud security (AWS, Google Cloud)
  • Knowledge of AI/ML and GenAI security
  • Strong communication and leadership skills

Qualifications

  • Relevant certifications (CISSP, CCSP)
  • Experience in finance or insurance sector
  • Deep cloud security expertise
  • Understanding of regulations and risk governance

Full job description

Must-Have Technical/Functional Skills
  • 10+ years of information security experience, including cloud and AI/ML.
  • Experience with public cloud security (AWS, Google Cloud).
  • Relevant certifications preferred (CISSP, CCSP, etc.).
  • Insurance or financial services experience preferred.
  • Expert knowledge of AI/ML, GenAI, and LLM security concepts.
  • Deep expertise in cloud security architecture (AWS, Google Cloud).
  • Well-rounded cybersecurity knowledge and hands-on experience with multiple domains of security
  • (including Data Security, Application Security, Identity Security, Endpoint Security, etc).
  • Strong understanding of DevSecOps and secure software development.
  • Understanding of global regulations and corresponding risk governance, legal and privacy aspects.
  • Ability to translate technical risks into business insights.
  • Strong communication and influencing skills, with executive presence.
  • Ability to work independently in complex environments.
  • Strong program and project management capabilities.
Roles & Responsibilities
  • Define and evolve AI security strategy, roadmap, and architecture aligned to business objectives and risk tolerance.
  • Design and implement secure AI and cloud-native security architectures using defense-in-depth principles.
  • Lead threat modeling, risk assessments, and security evaluations of AI systems and data pipelines.
  • Integrate AI security controls into SDLC, CI/CD, and DevSecOps practices.
  • Establish AI security frameworks aligned to industry standards (e.g., NIST, OWASP) and enterprise policies.
  • Develop AI security policies, standards, and best practices.
  • Partner with Legal, Risk, and AI Governance on compliance and regulatory requirements.
  • Provide guidance on securing AI workloads across cloud environments (e.g. Google Cloud).
  • Serve as enterprise SME and a point of contact for AI security.
  • Evaluate AI security tools and support monitoring, vulnerability management, and incident readiness.
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