AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with privacy legal and compliance for regulatory obligations
- Define security controls for LLM and AI risks
- Design controls for sensitive data handling retention and redaction
- Design guardrails and policy enforcement for model endpoints
- Develop monitoring logging and detection strategies for AI workloads
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services and open source components
- Implement identity authorization and tenant isolation patterns
- Implement runtime detection and response for adversarial prompts
- Lead incident response for AI security events
- Lead red team exercises against AI systems
- Secure training and fine tuning pipelines
- Stay current with LLM and adversarial ML security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Access Controls | Access Management | Adversarial Machine Learning | Authorization | Cloud Security | Cryptography | Data Integrity | Data exfiltration | Data provenance | Differential Privacy | Guardrails | Identity and Access Management | Identity and access | Incident Response | Infrastructure Security | Jailbreak | LLM security | Logging | Machine Learning | Machine Learning Infrastructure | Machine Learning Infrastructure Security | Policy enforcement | Privacy-preserving | Privacy-preserving machine learning | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Supply Chain | Supply chain security | Tenant Isolation | Threat modeling
Education
Roles
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