Director of AI Security
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Job Description
Senior Leader for Securing AI responsible for defining and executing AI security strategy. Overseeing risk management for AI systems across the enterprise for leading healthcare technologies.
Responsibilities:
- Develop and implement a comprehensive AI security and governance strategy aligned with enterprise objectives and regulatory expectations
- Partner with AI, IT, and Risk leaders to embed security-by-design across the AI lifecycle
- Establish AI threat modeling and risk management frameworks covering confidentiality, integrity, availability, and fairness of AI systems
- Oversee implementation of technical controls to safeguard AI/ML systems from adversarial attacks, data poisoning, model inversion, and prompt injection
- Define standards for secure model development, training, and deployment across cloud and edge environments
- Implement continuous monitoring for model drift, bias, and anomalous outputs
- Lead development of AI security policies, model documentation, and audit processes
- Ensure compliance with emerging AI regulations and frameworks
- Partner with legal, compliance, and data privacy teams to address ethical AI, explainability, and accountability requirements
- Work closely with data science, engineering, and DevSecOps teams to integrate secure development pipelines
- Collaborate with enterprise architecture and identity teams to enable trusted AI infrastructure and secure data access
- Represent AI security strategy in executive briefings, board updates, and regulatory engagements
- Participate in the AI Governance Committee
- Stay ahead of evolving AI and cybersecurity threat landscapes
- Lead red teaming and penetration testing of AI systems to evaluate resilience
- Champion responsible AI initiatives, fostering a 'secure and trusted AI' culture across the organization
Requirements:
- Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, or related field
- 10+ years in cybersecurity, including 3–5 years leading AI/ML or emerging technology security programs
- Proven experience designing and implementing secure AI architectures and governance frameworks
- Deep understanding of AI/ML systems, LLMs, data pipelines, and cloud-based AI services
- Familiarity with adversarial ML, data privacy, model security, and AI red teaming
- Knowledge of AI risk management standards (e.g., NIST AI RMF, ISO/IEC 27090x/42001)
- Strong background in cyber defense, threat intelligence, and secure software development (DevSecOps/MLOps)
Benefits:
- generous, flexible vacation policy
- educational assistance
- comprehensive health benefits
- 401(k) employer match
- leadership and technical development academies
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