AI Security Engineer
Tasks
- Build threat models for AI systems
- Collaborate with Privacy, Legal, and Compliance teams
- Define security controls for LLM and AI application risks
- Design guardrails and policy enforcement for model endpoints
- 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 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 for AI systems and remediation
- Secure training and fine tuning pipelines with data access controls
- Stay current on adversarial ML and LLM security research
Perks/Benefits
Skills/Tech-stack
Access Management | Adversarial Machine Learning | Application Security | Architecture Review | Authorization | Cloud Security | Cryptography | Data Exfiltration Detection | Data Integrity | Data exfiltration | Data provenance | Exfiltration detection | Identity and Access Management | Identity and access | Incident Response | Injection Defense | Jailbreak detection | LLM security | Machine Learning | Machine Learning Security | Prompt injection | Prompt injection defense | Python | Red Teaming | Security Architecture | Security architecture review | Supply Chain | Supply chain security | Tenant Isolation | Threat modeling
Education
Roles
AI | AI Security Engineer | Engineer | Security | Security Engineer
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