AI Security Engineer
Core
Review and harden AI systems, infrastructure, and supply chains (LLMs, agentic workflows) to ensure secure and responsible AI adoption across on-premise and cloud environments.
Role type
Senior IC AI Security Engineer (Infrastructure & Governance)
Builds
Secure AI architectures, guardrails, and compliance controls for LLMs and agentic AI workloads.
Domain
Cybersecurity, AI/ML Security, Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI system security, LLM threat mitigation, cloud security, container security, IAM, supply chain security, security frameworks (OWASP, MITRE ATLAS, NIST), infrastructure as code, CI/CD security
Preferred skills
Python/Bash scripting, MLSecOps, AI red-teaming, AIBOM/SBOM tooling, agentic AI governance
Technologies
Azure Foundry, Amazon Bedrock, Google VertexAI, Ollama, LMStudio, Terraform, Ansible, n8n, Hermes
Responsibilities
Assess AI systems and infrastructure for hardening needs; evaluate guardrails and controls against best practices; advise on secure-by-design AI architecture; prioritize and guide remediation of infrastructure gaps; evaluate AI supply chain risks; define security standards and reference patterns; review logging and observability for AI workloads; assess identity and secrets management for AI models.
Seniority
Senior, hands-on IC