AI Security Engineer
Tasks
- Build threat models for AI systems
- Conduct red team exercises for AI systems
- Define and implement LLM security controls
- Design and deploy AI guardrails and policy enforcement
- Design controls for sensitive data handling and redaction
- Develop monitoring logging and detection for AI workloads
- Drive supply chain security for ML artifacts
- Evaluate and harden third party AI services
- Implement identity authorization and tenant isolation
- Implement runtime detection for adversarial prompts
- Lead AI incident response and remediation
- Secure AI training and fine tuning pipelines
Perks/Benefits
Skills/Tech-stack
Access Control | Access Management | Application Security | Cloud Security | Cryptography | Data exfiltration | Identity and Access Management | Identity and access | Incident Response | LLM security | Logging | Machine Learning | Machine Learning Security | Monitoring | Multi-tenancy | Prompt injection | Python | Red Teaming | Runtime detection | Security Engineering | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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