AI Security Engineer
Tasks
- Build threat models for LLM risks
- Collaborate with Privacy, Legal, and Compliance teams
- Define security controls for AI systems
- Design guardrails and policy enforcement for model endpoints
- Design sensitive data handling and redaction for LLM workflows
- 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 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 pipelines
Perks/Benefits
Skills/Tech-stack
Access Management | Adversarial ML | Application Security | Architecture Review | Cloud Security | Cryptography | Data exfiltration | Identity and Access Management | Identity and access | Incident Response | LLM security | Logging | Machine Learning | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Security architecture review | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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