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Tier-1 brand and metro locations increase competition, while niche IAM+AI specialization limits applicant pool.
Highly specialized IAM security plus AI requirements reduce cross-industry transferability.
Explicit 12+ years, mandatory IAM and AI/ML experience, and audit requirements make filters highly strict.
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Design and develop AI/ML models and AI-enabled solutions to enhance Identity and Access Management (IAM) functions including identity governance, access certification, anomaly detection, and privileged access monitoring.
Lead and collaborate with cross-functional teams including IAM architects, cybersecurity, engineering, and data scientists to deliver scalable, secure, and intelligent IAM capabilities.
Monitor AI model performance and ensure explainability, auditability, and governance of AI-driven access decisions while aligning solutions with enterprise security standards.
12+ years of experience in security engineering with AI/ML/Data Science capabilities, including 4+ years auditing AI/ML systems for security risks and compliance.
Strong understanding and hands-on experience in Identity and Access Management (IAM) domain and cybersecurity principles.
Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch), data platforms (e.g., SQL, Spark), and cloud platforms (Azure, AWS, Google Cloud).
Location: Hyderabad or Bengaluru; flexible to provide occasional US morning hours coverage.
Experienced senior professional with deep technical expertise in AI/ML applied specifically to the IAM cybersecurity context.
Demonstrated leadership ability in guiding teams and collaborating with multiple stakeholders on complex, high-impact security AI projects.
Proven track record of developing scalable and secure AI-driven IAM solutions aligned with enterprise risk and security standards.