The AI Security Engineer Career Market

An AI Security Engineer is a security professional who specializes in protecting AI and machine learning systems from adversarial attacks, data poisoning, model theft, and misuse. The role combines deep knowledge of cybersecurity fundamentals with an understanding of how machine learning models are built, deployed, and exploited. It is one of the most supply-constrained roles in tech today.

Traditional security engineers protect networks, applications, and infrastructure. AI Security Engineers do that too, but they also defend against threats unique to AI systems: prompt injection attacks that manipulate large language models, adversarial inputs that fool computer vision classifiers, training data poisoning that corrupts model behavior, and model extraction attacks that steal proprietary weights through API queries.

The AI-in-cybersecurity market reached approximately $30.9 billion in 2025 and is growing at 22% to 24% annually. The EU AI Act takes effect for high-risk systems in August 2026, creating a concrete compliance deadline that is accelerating hiring. According to industry surveys, 41% of security teams cite AI/ML as their top skill need for 2026. No dedicated career intelligence site existed for this role until now.

Average total compensation is approximately $184,264 per year according to Glassdoor data from March 2026, with a range from $147,924 at the 25th percentile to $232,603 at the 75th percentile. Top performers at frontier AI labs and major cybersecurity companies earn above $284,000. AISec Engineer tracks every data point so you can navigate this emerging field with confidence.