Senior/Staff/Principal AI/ML Engineer - Agentic AI Security
Core
Design, build, and operationalize detection algorithms, ML inference pipelines, and risk aggregation systems for an autonomous Agentic AI threat detection platform.
Role type
Senior/Staff/Principal AI/ML Engineer (Agentic AI Security)
Builds
Production ML systems for ZTNA log analysis, threat signal surfacing, and adaptive access enforcement
Domain
Cybersecurity, Identity Security, Agentic AI
Deliverable
production ML models
Required skills
Threat detection algorithm design, MLOps and productionization, Large language models and agentic AI techniques, Real-time streaming data engineering, Security domain knowledge (MITRE ATT&CK, ZTNA)
Preferred skills
Experience building UEBA, ITDR, or identity security platforms at leading security or cloud companies
Technologies
Kubernetes, MLflow, Kubeflow, SageMaker, Kafka, Flink, Spark Streaming, Apache Iceberg, Parquet
Responsibilities
Build advanced detections for identity compromise, privilege escalation, and data exfiltration; Design explainable risk scoring systems; Build scalable low-latency streaming pipelines; Implement security controls for autonomous AI agents; Train and deploy ML models on identity and network telemetry
Seniority
Senior/Staff/Principal, hands-on IC
