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Well-known bank and metro location increase competition, but senior niche AI-cyber skillset limits applicant pool.
Highly domain-specific AI and cybersecurity expertise limits transferability across unrelated industries.
Explicit 15+ years requirement and specialized AI-cyber engineering skills create strict shortlisting.
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Own design and development of AI/ML models focused on cybersecurity use cases such as anomaly detection, threat prediction, and behavioral analytics.
Drive AI-driven prevention and protection by integrating AI capabilities with existing security tools (SIEM, SOAR, XDR, EDR, etc.) to enable automated blocking, adaptive controls, and risk-based access.
Lead efforts to enhance cyber defense against AI-driven threats, improve detection accuracy, and automate security operations for reduced response times.
15+ years of experience in cybersecurity with strong exposure to AI/ML applications.
Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, and programming in Python.
Experience with security platforms including SIEM, SOAR, XDR, EDR that have embedded AI capabilities.
Work Experience Required: 15+ years in cybersecurity AI/ML domain; Notice period: Not explicitly mentioned in the JD.
Experienced leader skilled at combining built-in AI tool capabilities with custom AI enhancements to innovate cybersecurity defenses.
Strong collaborative approach working across SOC, engineering, threat intelligence, and platform teams to operationalize AI-driven security use cases.
Expertise in navigating AI-related risks such as adversarial AI, model evasion, and responsible governance of AI for security applications.