Senior/Staff/Principal AI/ML Engineer - Agentic AI Security

About the role

AppGate builds a Zero Trust Network Access (ZTNA) solution used by Fortune 500 enterprises. It is looking for a Senior/Staff/Principal AI/ML Engineer focused on Agentic AI Security. The role designs, builds and operationalizes the detection algorithms, ML inference pipelines and risk aggregation systems behind an autonomous Agentic AI threat detection platform, working at the intersection of identity security, behavioral analytics and applied machine learning.

Key responsibilities

• Build threat detections for identity compromise, privilege escalation, impossible travel and data exfiltration across identity, network, device and session telemetry.
• Design and develop explainable risk scoring systems that normalize and correlate detection signals into user, device and session risk scores driving adaptive access enforcement.
• Build scalable, low-latency streaming pipelines that process ZTNA events in near real time.
• Define security controls for autonomous AI agents, including detection of agent drift, unauthorized access, prompt injection, privilege escalation and data leakage.
• Work on a roadmap to use agentic AI to automate threat investigation, analysis and remediation.
• Train, evaluate and deploy ML models on real identity and network telemetry, tuned for production precision and recall.

Required profile

• 5+ years of production AI/ML engineering experience; strong preference for candidates who have built threat detection, UEBA, ITDR or identity security platforms at leading security or cloud companies.
• Hands-on experience designing detections for identity-based threats such as credential compromise, privilege escalation, insider activity and behavioral anomalies.
• Experience building and operating scalable MLOps platforms, including model lifecycle management, CI/CD for ML pipelines, feature stores, automated retraining, model monitoring and drift detection, and deployment orchestration with Kubernetes, MLflow, Kubeflow, SageMaker or equivalent.
• Experience building AI-powered security systems using large language models, deep learning and agentic AI techniques.
• Knowledge of MITRE ATT&CK, identity threat kill chains, ZTNA or network access control systems and audit log analysis.

Required skills

• Real-time or near-real-time streaming pipelines (Kafka, Flink, Spark Streaming or equivalent).
• Familiarity with lakehouse formats such as Apache Iceberg and Parquet.