AI Security Engineer
Tasks
- Build AI threat models
- Define and implement LLM security controls
- Design and deploy model guardrails and policy enforcement
- Design sensitive data handling and redaction controls
- Develop AI workload monitoring logging and detection
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services
- Implement identity authorization and tenant isolation for AI services
- Implement runtime detection and response for adversarial prompts
- Lead incident response for AI security events
- Lead red team exercises and remediation
- Secure training and fine tuning pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Access Management | Adversarial Machine Learning | Application Security | Architecture Review | Content Filtering | Cryptography | Data Integrity | Data exfiltration | Data provenance | Differential Privacy | Identity and Access Management | Identity and access | Incident Response | LLM security | Machine Learning | Model abuse | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Security architecture review | Supply Chain | Supply chain security | Threat modeling
Education
Roles
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