AI Security Engineer
Tasks
- Build AI threat models
- Collaborate on privacy legal and compliance
- Define and implement AI security controls
- Design and deploy model guardrails and policy enforcement
- Design sensitive data handling retention and redaction
- Develop AI security monitoring logging and detection
- Drive ML supply chain security for artifacts
- Evaluate and harden third party AI services
- Implement identity authorization and tenant isolation
- Implement runtime detection and response
- Lead AI red team exercises and remediation
- Lead incident response for AI security events
- Secure training and fine tuning pipelines
- Stay current on adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Adversarial Machine Learning | Application Security | Authorization | Content Filtering | Cryptography | Data Exfiltration Detection | Data Integrity | Data exfiltration | Data provenance | Exfiltration detection | Identity and Access Management | Identity and access | Incident Response | LLM security | Logging and Monitoring | Machine Learning | Policy enforcement | Prompt injection | Python | Red Teaming | Runtime Monitoring | Security Architecture | Supply Chain | Supply chain security | Tenant Isolation | 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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