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Niche AI security expertise and seniority reduce applicant density despite metro location and recognizable corporate brand.
Role requires niche AI security, LLM and cloud security expertise, limiting cross-industry portability.
Specialized AI security, multi-cloud and DLP expertise imply strict filters and domain-specific hiring criteria.
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Own and manage the enterprise AI Security Platform(s) ensuring reliable, resilient, and scalable operation across cloud and endpoint environments.
Collaborate with cloud, application development, security operations, and executive stakeholders to maintain AI security capabilities, enforce AI-use policies, and collect governance data.
Lead AI Red Teaming tests, vendor management including influencing product roadmap, incident response integration, performance tuning, and comprehensive documentation for AI security tooling.
Strong understanding and hands-on experience with generative AI concepts and technologies including LLMs, AI agent frameworks, and guardrails.
Experience managing large-scale enterprise security solutions with capability road-mapping and operational change management.
Familiarity with cloud-native security tools, API-based integrations, and Data Loss Prevention (DLP) tailored for LLMs and generative AI.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in AI cybersecurity program ownership with a focus on enforcing AI policy across multi-cloud environments (AWS, Azure, GCP).
Proficient in coordinating cross-functional teams including SOC, developers, and vendors to drive AI security improvements and incident response.
Skilled in applying emerging AI regulatory and security frameworks such as EU AI Act and OWASP LLM Top 10 within enterprise settings.