AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate on privacy legal and compliance for AI systems
- Define and implement security controls for LLM risks
- Design guardrails content filters and policy enforcement
- Design sensitive data handling retention and redaction
- 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 for multi tenant AI services
- Implement runtime detection and response for adversarial prompts
- Lead incident response for AI security events
- Lead red team exercises for AI systems
- Secure training and fine tuning pipelines
Perks/Benefits
Skills/Tech-stack
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 | Machine Learning Security | Multi-tenancy | Prompt injection | Python | Runtime Monitoring | Security Architecture | Tenant Isolation | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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