Director of AI Security

🕒 June 25

🤠 Texas – Remote

🤠 Texas – Remote

💵 $150.2k - $214.5k / year

⏰ Full Time

🔴 Lead

👮‍♂️ Cybersecurity / Security Engineer

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Healthcare Insurance • Human Services • Healthcare

Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

📋 Description

• 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 — from data collection to model deployment • 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

🎯 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

• flexible vacation policy • educational assistance • comprehensive health benefits • 401(k) employer match • leadership and technical development academies