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