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Niche, senior AI-security specialization lowers density, but Bengaluru metro increases candidate availability.
Role requires specialized adversarial ML and AI security experience tied to cloud platforms, reducing cross-industry transferability.
Explicit 15+ years plus 4–5 years AI/ML security and deep adversarial-ML expertise creates high filtering.
Lead and define AI security strategy and governance for DigitalOcean, including building policies, standards, and controls for AI/ML systems.
Partner with security and engineering teams to integrate AI security controls into products, build detection and guardrail tooling, and conduct adversarial AI testing (e.g., jailbreaks, prompt injection).
Own AI security risk communication at executive/board levels and lead threat modeling and architectural reviews for AI initiatives from design to launch.
15+ years in cybersecurity with 4-5 years focused on AI/ML security or adversarial machine learning.
Strong programming skills in Python and Go with experience building security tooling and automations.
Bachelor's or Master's degree in Computer Science, Information Security, Mathematics, or related field, or equivalent experience.
Located in Bengaluru, India; experience with cloud provider or large-scale internet platforms and familiarity with AI security frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001, EU AI Act).
Proven track record owning and driving AI or security programs at an organizational/strategic level rather than just execution.
Deep hands-on knowledge of adversarial ML attacks and defenses with ability to translate academic research into engineering and policy.
Experience engaging senior leadership and boards to communicate complex AI security risks in business terms and justify investments.