Design, build, and operate AI security runtime controls across AI platforms.
Develop and maintain security solutions for AI interactions, LLMs, and agent workflows.
Act as senior escalation point for complex AI security incidents.

Requirements:

Significant hands-on experience in cybersecurity engineering with cloud security expertise.
Proven experience securing AI, ML, or LLM-based systems and understanding of AI security risks.
Proficiency in Python, PowerShell, KQL, and Infrastructure-as-Code security.

Benefits:

Flexible remote work environment with global security team collaboration.
Competitive benefits package and professional development opportunities.
Exposure to cutting-edge AI security technologies and large-scale cloud environments.