Leads end-to-end Data Science initiatives, developing production-grade machine learning, LLM, and AI agent capabilities for security policy management systems. Responsibilities include predictive modeling, anomaly detection, classification, behavioral analysis, model evaluation, deployment, monitoring, optimization, and domain-specific LLM adaptation. Partners with Product, Engineering, and Security teams while providing technical leadership and mentorship across multidisciplinary initiatives.

The AI System Architect will oversee AI integration strategy, system governance, and architecture for enterprise applications, leading a technical team and shaping AI initiatives across platforms.