AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with Privacy, Legal, and Compliance teams
- Define and implement security controls for LLM and AI applications
- Design and deploy guardrails and policy enforcement
- 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 patterns
- Implement runtime detection and response for adversarial prompts
- 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 Management | Adversarial Machine Learning | Application Security | Authorization | Cryptography | Data exfiltration | Data handling | Differential Privacy | Identity and Access Management | Identity and access | Incident Response | LLM security | Logging | Machine Learning | Multi-tenancy | Policy enforcement | Prompt injection | Python | Runtime Monitoring | Secure Data | Secure Data Handling | Supply Chain | Supply chain security | Threat modeling
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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