AI Security Engineer
Tasks
- Build threat models for AI systems
- Define and implement security controls for LLM and AI applications
- Design and deploy guardrails and policy enforcement
- Develop monitoring logging and detection for AI workloads
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services and open source components
- Implement identity and authorization for multi tenant AI services
- 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 drive remediation
- Secure training and fine tuning pipelines
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Adversarial Machine Learning | Application Security | Cloud Security | Content Filtering | Cryptography | Data Integrity | Data exfiltration | Data provenance | Differential Privacy | Encryption | Identity and Access Management | Identity and access | Incident Response | Machine Learning | Model abuse | Multi-tenancy | Policy enforcement | Prompt injection | Python | Runtime detection | Security Architecture | Supply Chain | Supply chain security | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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