Job
Core
Proactive AI Security Engineer securing AI system design, build, and operations across on-premise and cloud environments, focusing on infrastructure security, guardrails, and supply chain for LLMs and agentic workloads.
Role type
Senior IC AI Security Engineer (Infrastructure & Governance)
Builds
Secure AI/LLM deployments, guardrails, and supply chain controls for on-premise and cloud environments
Domain
AI Security, Cloud Infrastructure, LLM Operations
Deliverable
production ML models
Required skills
Infrastructure security engineering, LLM security (prompt injection, data poisoning), AI security frameworks (OWASP, MITRE ATLAS, NIST AI RMF), CI/CD security, Identity and Access Management (IAM), Container security, Linux/Networking, Regulated environment experience
Preferred skills
Python/Bash scripting, Agentic AI infrastructure governance, AIBOM/SBOM tooling, MLSecOps practices
Technologies
Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio, Terraform, Ansible, n8n, Hermes
Responsibilities
Review AI systems and infrastructure for hardening measures; Assess guardrails and controls against industry best practices; Advise on secure-by-design AI architecture; Recommend infrastructure hardening for self-hosted and cloud LLMs; Evaluate AI supply chain and dependencies; Define standards and best-practice guidance for AI security; Review logging and observability for AI workloads; Assess identity, access, and secrets management; Support compliance in regulated environments; Drive innovation by implementing Agentic AI usage within the unit
Seniority
Senior, hands-on IC
