AI Security Engineer
Tasks
- Build threat models for AI including prompt injection and data exfiltration
- Collaborate with privacy legal and compliance teams for AI regulatory needs
- Define and implement security controls for AI systems
- Design and deploy guardrails content filters and policy enforcement
- Design sensitive data handling retention and redaction controls
- Develop monitoring logging and detection strategies for AI workloads
- Drive supply chain security for ML artifacts and dependencies
- 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 and remediation
- Lead red team exercises for AI systems
- Secure training and fine tuning pipelines
- Stay current with adversarial ML and LLM security research
Perks/Benefits
Skills/Tech-stack
AI Security | Access Control | Adversarial ML | Application Security | Application logging | Artifact Security | Cloud Security | Content Filtering | Cryptography | Data Integrity | Data exfiltration | Data pipeline security | Data provenance | Data redaction | Differential Privacy | Identity and authorization | Incident Response | Infrastructure Security | Jailbreaks | LLM security | ML Artifact Security | Machine Learning | Pipeline Security | Policy enforcement | Privacy-Preserving ML | Privacy-preserving | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Supply Chain | Supply chain security | Threat modeling | Training Data Pipeline Security | Training data
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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