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2T Consulting

Consulting Director, AI Security

Western Springs, IL

Check who can apply and the requirements below before continuing.

About this opportunity

2T Consulting lists this Consulting Director, AI Security opportunity in Western Springs, Illinois. Review the employer’s description below for duties, qualifications and application requirements.

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.

Who can apply

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