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Metro location and mid-level title increase competition, but niche AI-security specialization reduces generalist applicant density.
Specialised AI-security and regulatory expertise limits transferability across industries.
Explicit 3–5 years, mandatory security engineering and AI-security skills create high shortlisting strictness.
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Assess AI tools and AI-built applications for security risks and communicate findings to stakeholders for informed decisions.
Develop and automate remediation policies to enforce safe AI usage without manual review.
Respond to AI-related security incidents and collaborate with cross-functional teams to improve AI governance and ensure regulatory compliance.
Bachelor's or Master's degree in Computer Science or related discipline.
3–5 years of experience in security engineering.
Knowledge of AI-specific security threats such as prompt injection, agentic and tool-use risks.
Experience applying structured security risk-assessment methodologies (e.g., CVSS) and strong written communication skills.
Hands-on practitioner experienced in assessing and securing AI systems at scale within global organizations.
Able to make risk-based decisions balancing security with productive AI adoption.
Comfortable working across global teams and interfacing with legal and data protection functions to align with regulatory frameworks like the EU AI Act and GDPR.