Enterprise Cybersecurity AI Infrastructure Engineer

About this kind of role

What a Enterprise Cybersecurity AI Infrastructure Engineer usually does. The employer's own details are in the listing.

Typically does: Designs, builds, and maintains the infrastructure that supports artificial intelligence and machine learning applications within an organization’s cybersecurity systems. This includes ensuring the scalability, reliability, and security of AI platforms used for threat detection, vulnerability management, and incident response. Responsibilities often involve integrating AI models into existing security tools and workflows, as well as optimizing performance for large datasets. They also collaborate with data scientists and security analysts to meet evolving cybersecurity needs.

Tools and skills: Proficiency in cloud platforms (like AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python), machine learning frameworks (TensorFlow, PyTorch), and cybersecurity principles is generally required.

Good fit for: Individuals with a strong background in both cybersecurity and cloud computing, combined with an interest in applying artificial intelligence to solve complex security challenges, often thrive in this role.