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Strong employer brand, metro location, and mid-level experience raise competition despite niche AI-security specialization.
Core AI-security skills transfer across industries, though regulated-medtech experience increases candidate fit sensitivity.
Requires explicit 3+ years and specific AI-security expertise, but many advanced skills are listed as nice-to-have.
Conduct AI security reviews, risk assessments, and define guardrails for secure AI adoption in the enterprise.
Support operation of AI security platforms and use AI technologies to improve overall cybersecurity posture.
Collaborate with innovation, IT, product, and cybersecurity teams to embed security in new AI technologies and guide early deployments.
3+ years of IT experience with a Bachelor's Degree in Engineering, MCA, or MSc.
Understanding of enterprise cybersecurity principles and AI/ML security risks.
Experience conducting security reviews, risk assessments, or control evaluations of new technologies or vendors.
Clear communication skills to explain technical solutions to non-technical stakeholders.
Experience applying security standards, guardrails, or policies specifically for AI technology adoption.
Familiarity with AI security technologies and governance frameworks like NIST AI RMF or OWASP Top 10 for LLMs.
Background working in regulated or large enterprise environments with cross-functional teams.