Staff AI Security Engineer
Core
Define and operationalize security across the AI ecosystem, building secure foundations for AI development, agentic workflows, and enterprise adoption.
Role type
Staff AI Security Engineer
Builds
Secure-by-default foundations for AI development, agentic workflows, and enterprise AI adoption
Domain
AI/ML infrastructure, cloud security, and enterprise risk management
Deliverable
production ML models | infrastructure
Required skills
Security engineering (cloud/application/infrastructure), AI/ML systems (LLMs, training pipelines, inference, MLOps), large-scale distributed systems, Go/Python, Kubernetes, cloud platforms (AWS/GCP/Azure), AI threat modeling (prompt injection, data leakage, model misuse)
Preferred skills
LLM-based systems and agent frameworks (LangChain), adversarial ML/red teaming, secure model deployment/confidential computing, identity and access control, high-performance/GPU environments
Technologies
Go, Python, Kubernetes, AWS, GCP, Azure, LangChain
Responsibilities
Design and implement security controls for AI/ML infrastructure (model storage, data lineage, model signing, MLOps/MLSecOps); Develop AI security policies, standards, and threat models; Build security guardrails for agentic workflows (tool access, input/output validation, sandboxing); Lead secure adoption of AI tools and evaluate vendors; Partner with enterprise security on AI-related risks (endpoint posture, SaaS security); Conduct threat modeling and adversarial testing of AI systems
Seniority
Staff, hands-on IC with strategic influence