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Tier-1 employer, metro location, mid-level role, niche AI-security focus reduces mass competition.
AI cybersecurity in regulated healthcare requires specialized domain experience, limiting cross-industry transferability.
Explicit 3+ years plus specific AI security skills and frameworks create moderate filtering of candidates.
Lead AI security reviews, assessments, and risk mitigation for enterprise AI adoption.
Define and enforce AI security guardrails and support AI security platforms across the organization.
Collaborate with innovation, IT, product, and cybersecurity teams to embed security in AI pilots and emerging technology deployments.
3+ years of IT experience with a Bachelor's Degree in Engineering, MCA, or MSc.
Experience conducting security reviews, risk assessments, or control evaluations involving new technologies or vendors.
Understanding of enterprise cybersecurity principles and AI/ML security risks.
Clear communication skills to explain technical solutions to non-technical stakeholders.
Experienced in AI/ML security risk management and defining security standards or guardrails for technology adoption.
Able to balance innovation with enterprise risk in a regulated or large enterprise environment.
Skilled at collaborating across teams to translate business needs into actionable security requirements during early technology rollouts.