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Niche AI security skills but metro location and broad cloud-security requirements yield moderate competition.
Role demands specialized cybersecurity and AI/LLM security expertise, reducing easy cross-industry transferability.
Explicit 8+ years, 3+ years AI security, and mandatory cloud/security tooling create strict shortlisting filters.
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Own the implementation and operationalization of AI security tools and controls across enterprise AI platforms including Microsoft Copilot, Azure OpenAI, and AWS Bedrock.
Develop and lead AI security threat detection, response capabilities, and adversarial testing programs including AI red teaming focused on prompt injection, jailbreak, and data leakage risks.
Collaborate with cross-functional teams to design secure-by-design AI patterns, conduct security architecture reviews, support AI governance, and deliver AI security metrics and reporting.
8+ years of experience in cybersecurity, security engineering, cloud security, application security, or security operations.
3+ years of experience securing AI/ML, Generative AI, LLM, agent-based, or cloud-native AI applications.
Proficiency with Microsoft Security suite, Azure AI/Foundry, Defender for Cloud, Sentinel, Zscaler, CASB, and cloud platforms like GCP and AWS.
Deep understanding of AI-specific security risks such as prompt injection, jailbreak attacks, LLM security, agentic AI security, RAG security, and AI adversarial testing.
Experienced technical leader capable of managing complex AI security projects and mentoring team members in process maturity.
Strong cross-functional collaborator comfortable working with AI developers, product teams, and security operations to embed security controls and response mechanisms.
Strategic thinker with expertise in threat detection workflows, AI governance frameworks, and evaluation of emerging AI security technologies.