AI Security Engineer

The AI Security Engineer will lead and manage operational plans and large-scale AI security projects, providing leadership to AI security professionals and contributing to resource and policy development.

Requirements

• In-depth knowledge of AI/ML security principles, frameworks, and best practices
• Bachelor's degree is required, with a Master's preferred
• 6 to 10 years, or an equivalent combination of education and experience
• Strong understanding of machine learning model vulnerabilities, data poisoning, adversarial attacks, and privacy-preserving ML techniques
• Proficiency in cloud security principles and architectures (AWS, Azure, GCP) as they apply to AI workloads
• Experience with security architecture, threat modeling, and risk assessment specifically for AI systems
• Knowledge of data governance, privacy regulations (e.g., GDPR, CCPA), and ethical AI principles
• Excellent communication, presentation, and interpersonal skills for effective stakeholder engagement