Principal AI Security Engineer
Core
Architect and secure the end-to-end AI lifecycle (data ingestion, training, inference) and Azure AI ecosystem for a nonprofit health organization.
Role type
Principal AI Security Engineer (hands-on IC)
Builds
Secure AI architectures, guardrails, and monitoring controls for Azure AI services
Domain
Healthcare + AI Security
Deliverable
production ML models
Required skills
AI/ML security architecture, Azure AI security, LLM vulnerability mitigation, AI governance frameworks, threat modeling, Python, PowerShell/Bash, Azure Entra ID
Preferred skills
MCP implementation, RAG security, vector database security
Technologies
Azure OpenAI Studio, Azure AI Foundry, Azure AI Search, Azure Kubernetes Service (AKS), Model Context Protocol (MCP), REST, gRPC
Responsibilities
Design secure-by-design AI architectures, implement security controls (prompt injection, rate limiting), establish AI security standards and policies, build automated guardrails, conduct AI threat modeling and red-teaming, develop monitoring dashboards for AI anomalies
Seniority
Principal, hands-on IC