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Niche AI-security focus reduces applicants but mid-level Bengaluru role still attracts moderate competition.
AI-security skills are transferable across industries but regulatory and security context increases domain specificity.
Explicit 3–5 years requirement plus mandatory AI-security expertise and regulatory knowledge drives strict shortlisting.
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Assess and secure AI tools and applications by identifying security risks and communicating actionable findings to stakeholders.
Develop and automate AI usage remediation policies and governance controls aligned with regulatory requirements like EU AI Act and GDPR.
Respond to AI-related security incidents and collaborate with cross-functional teams to enforce secure AI practices and track risk reduction through KPIs.
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 such as LLMs and RAG systems.
Experience with structured security risk assessment methodologies (e.g., CVSS).
Experienced in hands-on security assessments and pragmatic risk mitigation for AI systems within large, global organizations.
Capable of translating complex AI security risks into clear, actionable policies and communicating effectively across diverse teams and time zones.
Comfortable managing ambiguous situations and making informed security decisions, including escalation when necessary, with familiarity in observability platforms.