Tech Stack
CloudDistributed SystemsPython
About the role
- Incident response coordination
- Real-time threat monitoring and detection
- Production AI monitoring (not research)
- Forensic investigation
- Detection engineering across all security domains
- AI threat detection implementation
- Engineer advanced threat detection — Design and implement detections for AI/ML-specific threats including prompt injection, model extraction, data poisoning, and adversarial inputs.
- Automate security responses — Build playbooks and orchestration workflows that contain AI-targeted attacks in minutes, not hours.
- Lead AI incident response — Coordinate cross-team investigations into compromises of models, training data, and inference endpoints.
- Hunt for AI-specific threats — Proactively search for active attacks across GPU clusters, training pipelines, and model deployments.
- Enhance visibility & telemetry — Onboard, optimize, and analyze logging from AI infrastructure to detect anomalies and misuse.
- Collaborate across domains — Partner with AI Security on threat intelligence, Cloud/Infrastructure on runtime monitoring, and Software Security Engineering on customer-impacting incidents.
Requirements
- 8+ years in security operations, detection engineering, or incident response
- 3+ years securing AI/ML infrastructure or high-performance computing environments
- Proven ability to detect and stop sophisticated attacks
- Experience with distributed systems, GPU cluster security, and cloud-native monitoring
- Proficiency with SIEM platforms and detection technologies
- Strong programming skills in Python, KQL, SPL, or similar