AI Security Engineer
United States - Remote
R
USD 165K-215K (estimate) Senior-level Full Time
Tasks
- Build threat models for AI systems
- Collaborate with privacy legal and compliance teams for AI regulatory requirements
- Define and implement security controls for LLM and AI application risks
- Design and deploy guardrails and policy enforcement layers for model endpoints
- Design sensitive data handling retention and redaction controls for LLM workflows
- Develop monitoring logging and detection strategies for AI workloads
- Drive supply chain security for ML artifacts and inference dependencies
- Evaluate and harden third party AI services and open source AI components
- Implement identity authorization and tenant isolation patterns for multi tenant AI services
- Implement runtime detection and response for adversarial prompts
- Lead incident response for AI specific security events
- Lead red team exercises and drive remediation
- Secure training and fine tuning pipelines with data provenance integrity and access controls
- Stay current with adversarial ML and LLM security research
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Access Management | Adversarial Machine Learning | Application Security | Authorization | Cloud Security | Cryptography | Data exfiltration | Identity and Access Management | Identity and access | Incident Response | Jailbreaks | LLM security | Logging | Machine Learning | Prompt injection | Python | Red Teaming | Runtime Security | Runtime security monitoring | Security Architecture | Security monitoring | Tenant Isolation | Threat modeling
Education
N/A
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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