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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche AI-security specialization lowers applicant density, but metro location and known employer increase competition.
Highly specialized AI security, cloud-SOC and LLM-specific skills limit cross-industry transferability.
Role demands deep AI-security, cloud integrations, DLP, SOC and red-teaming expertise, so filters are strict.
Job Description
Structured overview of role & requirementsAbout This Role
Manage and optimize AI Security Platform to enforce cross-platform AI policy and protect against AI-related cyber threats including data exfiltration.
Lead AI asset discovery and continuous security posture management across cloud environments (AWS, Azure, GCP).
Collaborate with development teams on AI Red Teaming tests integrated within CI/CD pipelines and serve as primary technical contact for AI security platform vendor to influence product roadmap.
Minimum Requirements
Experience managing large-scale enterprise security solutions including capability road-mapping and operational change management.
Strong understanding of generative AI concepts (LLMs, RAG, AI agent frameworks, agent Red-Teaming, guardrails, etc.).
Hands-on experience with cloud-native security tools and API-based integrations (SIEM, firewalls, endpoint security, etc.).
Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
Deep technical expertise in AI security architectures, including scalability and performance tuning of security platforms in enterprise contexts.
Familiarity with AI security regulatory frameworks such as EU AI Act and OWASP LLM Top 10, indicating strong domain bias towards compliance and governance.
Experience collaborating across multi-disciplinary teams and integrating AI security testing within DevOps environments (CI/CD).