AI Security Engineer
Tasks
- Apply rate limiting and anomaly detection
- Conduct security assessments and penetration testing
- Conduct threat modeling for AI workloads
- Create security documentation and runbooks
- Enable audit logging for AI workloads
- Ensure data encryption in transit and at rest
- Implement authentication and authorization
- Implement data masking and access controls
- Implement responsible AI governance
- Implement safeguards against prompt injection
- Participate in incident response
- Perform vulnerability management and patching
- Secure LLM APIs and model access
- Support regulatory compliance audits
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Adversarial inputs | Anomaly Detection | Audit Logging | Audit trails | Authentication | Authorization | Bias detection | Cloud Security | Data Privacy | Data leakage | Data masking | Encryption | Explainability | Fairness monitoring | Human oversight | IAM | Immutable Audit Trails | Incident Response | Infrastructure as Code | JSON Web Token | Model poisoning | OAuth 2.0 | OWASP | Penetration Testing | Prompt engineering | Prompt injection | Rate Limiting | Secure Prompt Engineering | Security Automation | Threat modeling | Vulnerability Management | “as-code”
Education
N/A
Roles
AI | AI Security Engineer | Cybersecurity Manager | Engineer | Manager | Security Engineer
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