AI Security Engineer
Tasks
- Build threat models for AI including prompt injection jailbreaks data exfiltration
- Collaborate with privacy legal and compliance teams for AI regulatory requirements
- Define security controls for LLM and AI risks
- Design and deploy guardrails and policy enforcement for model endpoints
- Design sensitive data handling retention and redaction for LLM workflows
- 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 AI 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 and improvements
- Lead red team exercises for AI systems and drive remediation
- Secure training and fine tuning pipelines with data provenance integrity and access controls
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Adversarial Machine Learning | Application Security | Cloud Security | Cryptography | Data exfiltration | Guardrails | Identity and Access Management | Identity and access | Incident Response | LLM security | Logging | Machine Learning | Monitoring | Multi-tenancy | Policy enforcement | Prompt injection | Python | Red Teaming | Runtime detection | Supply Chain | Supply chain security | Threat modeling
Education
Roles
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