





Senior, niche AI security specialization reduces applicant pool despite metro location and known employer.
Core security operations skills transfer across industries, but AI/agentic security specialization raises domain specificity.
Explicit 8+ years, mandatory SecOps/cloud tooling, and automation/incident commander requirements make filtering strict.
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Own and lead AI-native security tooling and the security posture of an agentic AI platform, including Wiz AI Security Posture Management and AI Lens.
Define and execute detection and response strategy with a focus on automation to scale SecOps via engineering, including building detection-as-code and SOAR workflows.
Serve as incident commander for major security incidents, manage MSSP/MXDR partnerships, maintain playbooks, run purple-team exercises, and report key SecOps metrics to leadership.
8 to 10+ years in hands-on security engineering or operations, with expertise in security operations, incident response, and cloud security.
Hands-on experience with cloud security posture management tooling such as Wiz CNAPP, CSPM, DSPM, and detection engineering.
Strong automation skills including SOAR, detection-as-code, scripting (Python), and a record of progressing toward automated remediation.
Experience securing AI/ML/LLM and agentic systems or demonstrable ability to ramp quickly; experience managing MXDR/MSSP partners; expertise in incident response lifecycle (e.g., NIST) and acting as incident commander.
Engineer with strategic and technical ownership aptitude capable of architecting and scaling SecOps through automation rather than headcount.
Deep domain knowledge or specialization in AI security frameworks (e.g., OWASP LLM & Agentic Top 10, MITRE ATLAS, AIBOM) and cloud security posture tooling.
Experienced leader in incident response and MSSP/MXDR management with skills in integrating detection, automation, and risk prioritization into security operations workflows.