AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with Privacy, Legal, and Compliance teams
- Define security controls for LLM and AI applications
- Design guardrails content filters and policy enforcement for model endpoints
- Design sensitive data handling retention and redaction controls
- Develop monitoring logging and detection strategies for AI workloads
- Drive supply chain security for ML artifacts
- Harden third party AI services and open source AI components
- Implement data provenance integrity and access controls
- 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 for AI systems
- Secure training and fine tuning data pipelines
- Stay current with adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Access Management | Adversarial ML | Application Security | Authorization | Content Filtering | Cryptography | Data exfiltration | Data provenance | Guardrails | Identity and Access Management | Identity and access | Incident Response | LLM security | ML model security | Model Security | Multi-tenancy | Prompt injection | Python | Runtime Monitoring | Security Architecture | Supply Chain | Supply chain security | Threat modeling
Education
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