Senior Principal Engineer - AI Cyber Defense

Overview

Senior Principal AI Cyber Security Engineer for the Cybersecurity Analytics and Engineering team, building and operationalizing AI/ML-powered threat prevention and predictive defense.

What you'll do

• Design and develop AI/ML models for cybersecurity use cases like anomaly detection, threat prediction, and behavioral analytics.
• Use embedded AI/ML capabilities in security tools (e.g., SIEM, SOAR, XDR, EDR, firewalls, DLP) to improve prevention, protection, and detection.
• Identify and enable additional AI modules/plugins or advanced features in security platforms to enhance capabilities.
• Develop AI-driven protection mechanisms such as automated blocking, adaptive controls, and risk-based access enforcement.
• Improve detection accuracy by tuning models, correlating signals, and performing intelligent enrichment to reduce false positives.
• Integrate AI capabilities with SIEM, SOAR, XDR, and perimeter/security platforms for real-time, automated protection and response.
• Operationalize AI-driven prevention and protection use cases with SOC and engineering teams.

What you'll need

• 15+ years of experience in cybersecurity with strong exposure to AI/ML applications.
• Hands-on experience with machine learning frameworks: TensorFlow, PyTorch, and Scikit-learn.
• Strong programming skills in Python, data engineering, and model development.
• Experience with SIEM, SOAR, XDR, EDR, and modern security platforms with embedded AI capabilities.
• Knowledge of advanced analytics techniques including anomaly detection, classification, clustering, and NLP.
• Understanding of MLOps practices (deployment, monitoring, and lifecycle management).
• Knowledge of adversarial AI risks (evasion, poisoning, model bypass) and mitigation techniques.

Details

• Role type: Hybrid.
• Location: Bangalore, India.