Sr. Cybersecurity AI Engineer – Multiple Offices (Hybrid)

About this kind of role

What a Sr. Cybersecurity AI Engineer – Multiple Offices (Hybrid) usually does. The employer's own details are in the listing.

Typically does: Develops and implements artificial intelligence and machine learning solutions to enhance cybersecurity defenses. This includes designing, building, and testing AI models for threat detection, vulnerability analysis, and incident response. The role also involves researching and evaluating new AI technologies to improve security posture and automating security tasks. Collaboration with security analysts and engineers is common to integrate AI capabilities into existing workflows.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), knowledge of cybersecurity principles, and familiarity with cloud platforms (AWS, Azure, GCP) are generally required.

Good fit for: Individuals with a strong background in both computer science and cybersecurity, and a passion for applying AI to solve complex security challenges, often thrive in this role.