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Senior, niche AI security specialization and MXDR/CNAPP requirements reduce applicant density despite metro location.
AI-focused SecOps and specialized cloud/security tooling create high domain specificity and limited cross-industry transferability.
Explicit 8+ years plus mandatory Wiz/CNAPP, SOAR, detection engineering, and incident-command experience makes filters strict.
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Lead AI-native security and security automation, orchestrating security operations and incident response without frontline 24x7 monitoring duties.
Own and architect AI and cloud security tooling (including Wiz), driving detection strategy and automated remediation to scale SecOps through engineering.
Manage AI red-teaming, vulnerability prioritization, third-party security partners, and incident response lifecycle to build resilient, automated security systems.
8 to 10+ years in hands-on security engineering or operations, with strong depth in security operations, incident response, and cloud security.
Hands-on experience with cloud security posture management and CNAPP tools; Wiz experience strongly preferred.
Proven ability in security automation including SOAR, detection-as-code, scripting (Python).
Experience securing AI/ML/LLM/agentic systems or ability to ramp quickly; experience managing MSSP/MXDR partners; strong incident response knowledge (NIST, SIEM, XDR).
Experienced in building or maturing SecOps functions focused on automation over headcount growth.
Technically hands-on leader comfortable owning AI security tooling and driving strategic detection and response engineering.
Familiar with AI security frameworks like OWASP LLM, MITRE ATLAS, and skilled in operationalizing AI-specific security controls and red-teaming.