AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with Privacy, Legal, and Compliance teams
- Define and implement LLM security controls
- Design guardrails and policy enforcement layers 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
- Evaluate and harden third party AI services and open source 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 specific security events
- Lead red team exercises for AI systems
- Secure training and fine tuning pipelines
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Adversarial ML | Application Security | Cloud Security | Content Filtering | Cryptography | Data exfiltration | Data provenance | Differential Privacy | Guardrails | Identity and Access Management | Identity and access | Incident Response | Integrity Controls | LLM security | Logging | Monitoring | Policy enforcement | Prompt injection | Python | Red Teaming | Runtime detection | Rédaction | Security Architecture | Supply Chain | Supply chain security | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Engineer | Architect | Engineer | Security | Security Architect | Security Engineer
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