Senior Security Engineer, AI Model and Application

About this kind of role

What a Senior Security Engineer, AI Model and Application usually does. The employer's own details are in the listing.

Typically does: Designs, implements, and manages security controls for artificial intelligence models and related applications. This includes identifying and mitigating vulnerabilities specific to AI systems, such as adversarial attacks and data poisoning. Responsibilities also involve developing security architectures, conducting risk assessments, and responding to security incidents related to AI deployments. They often collaborate with data scientists, machine learning engineers, and other stakeholders to ensure security is integrated throughout the AI lifecycle.

Tools and skills: Proficiency in cloud platforms (AWS, Azure, GCP), security information and event management (SIEM) systems, vulnerability scanning tools, and a strong understanding of machine learning security principles, cryptography, and network security is generally required.

Good fit for: Individuals with a strong background in cybersecurity and a keen interest in the emerging challenges of securing artificial intelligence are often successful in this role.