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Director of AI Security
Location
Texas
Posted
19 days ago
Salary
$150.2K - $214.5K / year
Seniority
Lead
Job Description
Director of AI Security
Gainwell Technologies
• 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
Job 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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