AI SecOps Engineer
Core
Own the security and compliance posture of the Enterprise AI program, acting as a technical bridge between AI governance policy and platform implementation.
Role type
AI SecOps Engineer
Builds
Security tooling, guardrail enforcement, policy-as-code integrations, and reusable security components for Agent builds.
Domain
Financial services / Enterprise AI / LLM Security
Deliverable
production ML models
Required skills
Hands-on security and compliance controls for AI/ML systems, LLM-specific risk mitigation (prompt injection, data leakage, model access control), architecture standards definition, data residency and PII handling, translating security requirements into developer guidance, hands-on solution building.
Preferred skills
Anthropic enterprise security model familiarity, cloud security (AWS/Azure) for AI workloads, SOC I/II, FedRAMP, ISO 42001/42005, NIST AI RMF knowledge, SIEM/log aggregation (Sentinel, Splunk) experience, CISSP/CCSP/AI security certifications.
Technologies
Claude, AWS, Azure, Sentinel, Splunk, Google SecOps
Responsibilities
Partner with Cyber Security Group on data residency, PII handling, and model security controls; build and maintain security tooling and automation; develop reusable security components for delivery teams; instrument AI platforms for anomaly detection and policy violation monitoring.
Seniority
Mid-level, hands-on IC