Consulting Director, AI Security
@ 2T ConsultingConsulting Director, AI Security
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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