AI Security Engineer
Tasks
- Apply guardrail middleware for AI outputs
- Build adversarial testing harnesses
- Design AI ML asset discovery tooling
- Detect shadow AI
- Document AI security runbooks
- Filter AI outputs
- Implement AI pipeline security controls
- Implement API gateways for AI services
- Integrate AI risk signals into SIEM
- Integrate AI risk signals into SOAR
- Integrate third-party AI services securely
- Maintain model inventory tooling
- Manage access control for AI systems
- Protect data in AI pipelines
- Run jailbreak and prompt injection testing
- Securely manage secrets for AI pipelines
- Support secure AI development lifecycle CI CD gates
- Support secure model deployment
- Test for data leakage in AI applications
Perks/Benefits
- 401k retirement plan
- Employee assistance program
- Health savings account
- Life insurance
- Medical, dental, and vision
- Paid time off
- Short and Long Term Disability
- Transportation benefits
Skills/Tech-stack
API Gateway | AWS | Adversarial Testing | Azure | CI/CD | Data exfiltration | Data poisoning | GCP | Guardrails | Hugging Face | IAM | Infrastructure as Code | Key Management | LLMOps | Langchain | MLOps | Model inversion | Network Segmentation | Prompt injection | PyTorch | Python | Red Teaming | SIEM | SOAR | Secrets management | TensorFlow | “as-code”
Education
N/A
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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