Sr. Staff AI Security Engineer, AI Native Platform
Tasks
- Build MCP access and tool use authorization controls
- Create identity and authorization model for autonomous agents
- Defend against prompt injection
- Define access governance for RAG and knowledge systems
- Define and enforce trust boundaries for agent orchestration
- Design agentic observability and telemetry pipelines
- Design build and iterate access controls for AI models
- Enforce data boundary controls and abuse detection
- Govern retrieval augmented and reasoning data access
- Implement architecture level adversarial defenses
- Implement behavioral monitoring for AI system detection
- Implement model provenance and supply chain integrity
- Implement policy enforcement and authorization patterns
- Implement service identities scoped credentials and least privilege
- Lead end user AI platform access control reviews
- Partner with privacy legal and data teams on data pipeline controls
- Secure access to frontier models
- Secure shared knowledge layer access control
- Vet services and dependencies in AI stack
Perks/Benefits
Skills/Tech-stack
ABAC | Access Management | Adversarial Testing | Agentic Observability | Application Security | Behavioral monitoring | Cloud Security | Dependency Controls | Detection engineering | IAM | Identity and Access Management | Identity and access | Injection Defense | Knowledge graphs | LLM | LLM security | Language Models | Large Language Models | Least Privilege | MCP | Model inversion | Model provenance | OAuth | Prompt injection | Prompt injection defense | RAG | RBAC | Retrieval-Augmented Generation | Secrets management | Security Engineering | Supply Chain | Supply chain security | Telemetry | Threat detection | Vector Databases | Vector Store
Education
N/A
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