AI Security Engineer
Tasks
- Build threat models for prompt injection jailbreaks data exfiltration and abuse
- Collaborate with privacy legal and compliance teams for regulatory obligations
- Define security controls for LLM and AI applications
- Design guardrails content filters and policy enforcement for model endpoints
- Develop monitoring logging and detection strategies for AI workloads
- Drive supply chain security for ML artifacts weights datasets and dependencies
- Evaluate and harden third party AI services and open source AI components
- Implement identity authorization and tenant isolation patterns
- Implement runtime detection and response for adversarial prompts
- Implement sensitive data handling retention and redaction controls
- Lead incident response for AI security events
- Lead red team exercises and remediation for AI systems
- Secure training and fine tuning pipelines data provenance integrity and access controls
- Stay current with adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Application Security | Cloud Security | Cryptography | Data exfiltration | Differential Privacy | Identity and Access Management | Identity and access | Incident Response | Jailbreaks | Machine Learning | Prompt injection | Python | Red Teaming | Supply Chain | Supply chain security | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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