AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate on privacy legal and compliance
- Define security controls for LLM risks
- Design guardrails and policy enforcement
- Design sensitive data handling and redaction
- Develop AI workload monitoring logging and detection
- Drive supply chain security for ML artifacts
- Harden third party AI services and open source components
- Implement identity authorization and tenant isolation
- Implement runtime detection and response
- Lead incident response for AI security events
- Lead red team exercises for AI systems
- Secure training and fine tuning pipelines
- Stay current on adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Access Management | Adversarial Machine Learning | Application Security | Authorization | Cloud Security | Cryptography | Data exfiltration | Identity and Access Management | Identity and access | Incident Response | LLM security | Machine Learning | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Security controls | Supply Chain | Supply chain security | Tenant Isolation | Threat modeling
Education
Roles
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