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Mid-level AI security role, metro location, and common 3–5 year band create moderate competition.
AI security requires specialized security and ML knowledge, making background transferability limited.
Explicit 3–5 years plus AI security expertise and regulatory knowledge make filters strict.
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Assess AI tools and AI-built applications for security risks, delivering actionable findings to stakeholders.
Develop and automate remediation policies and controls enforcing safe AI usage boundaries.
Collaborate with teams across the organisation to guide secure AI adoption, monitor KPIs for risk reduction, and respond to AI-related security incidents.
Bachelor's or Master's degree in Computer Science or related discipline.
3–5 years of experience in security engineering.
Practical knowledge of AI-specific security threats and modern AI architectures (LLMs, RAG systems, tool-use workflows).
Experience applying structured security risk-assessment methodologies (e.g., CVSS).
Operates effectively at the intersection of AI technology, security engineering, and regulatory compliance.
Experienced in conducting pragmatic security assessments and translating AI risk patterns into enforceable policies.
Comfortable making clear security decisions under ambiguity and collaborating across global teams with familiarity in observability platforms.