Director of AI Security

Gainwell Technologies LLC•Any city, OH

5d•$150,200 - $214,500•Remote

About The Position

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary The Senior Leader for Securing AI is responsible for defining and executing the organization’s strategy to protect, monitor, and govern artificial intelligence (AI) systems across the enterprise. This role ensures that AI and machine learning technologies are developed, deployed, and operated securely, ethically, and in compliance with applicable regulations. The leader oversees risk management for AI models, data pipelines, and AI-powered business applications, ensuring resilience against adversarial attacks, model manipulation, and data leakage.

Requirements

Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Artificial Intelligence, or related fie.
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).

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 — 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 (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001, U.S. AI Executive Orders).
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 (MLOps/LLMOps).
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, including deepfakes, generative AI misuse, and model exfiltration.
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.