Principal AI Security Engineer

Job Description

Required Qualifications:

– 8+ years in a hands-on security engineering or operations role, with strong depth in security operations, incident response, and cloud security.

– Hands-on experience with cloud security posture and CNAPP tooling (Wiz strongly preferred) and with detection engineering.

– Demonstrated automation capability: SOAR, detection-as-code, scripting (Python), and a track record of building toward automated remediation.

– Experience securing AI, ML, or LLM and agentic systems, or a strong, demonstrable ability to ramp quickly (guardrails, AI red-teaming, MCP and agent security).

– Experience managing third-party security partners, particularly MSSPs or MXDR providers.

– Expert knowledge of the incident response lifecycle (e.g., NIST) and experience acting as incident commander, with SIEM and XDR depth.

Preferred Qualifications:

– Demonstrated AI security specialization: OWASP LLM and Agentic Top 10, MITRE ATLAS, AIBOM, and model scanning.

– Proficiency with SOAR and automation platforms and hands-on automated-remediation experience.

– Proven experience standing up or maturing a SecOps function that scales through automation rather than headcount.

– Relevant certifications (e.g., GCIH, GCFA, CISSP, or a cloud security certification) and a degree in Computer Science, Information Security, or a related field.

Are you interested in this position?
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