Cybersecurity AI Risk and Governance Engineer, Global
Remote - CO, United States
R
USD 115K-130K (estimate) Mid-level Full Time
Tasks
- Align with ISO 42001 AI governance standards
- Conduct vendor AI capability security reviews
- Configure AI usage monitoring and logging controls
- Enforce AI vendor security validation and governance approval
- Engineer secure inference paths and APIs
- Execute AI threat modeling for enterprise risk
- Implement model explainability and output validation controls
- Implement security architecture patterns for AI systems
- Integrate AI security signals into SOC and SIEM
- Mitigate prompt injection and unsafe output risks
- Perform AI security testing and reviews
- Prevent unauthorized external model training and data retention
- Support investigation and response to AI incidents
- Validate LLM usage patterns and RAG controls
- Validate encryption access logging retention and deletion controls
Perks/Benefits
- Dental insurance
- Employee assistance program
- Health insurance
- Life and AD D Insurance
- Long-term disability
- Paid time off
- Remote work options
- Retirement plan with employer match
- Short-term disability
- Training and development
- Vision insurance
Skills/Tech-stack
AI Security | API Security | AWS | Access Logging | Access Management | Authentication | Azure | Cloud Security | Cybersecurity | Data Governance | Data Leakage Prevention | Data leakage | Encryption | Encryption at rest | Encryption in Transit | Generative AI | Google Cloud | Identity & Access | Identity & Access Management | Incident Response | LLM security | Language Models | Large Language Models | Leakage prevention | Least Privilege | Machine Learning | Model Explainability | Prompt injection | Prompt injection mitigation | RAG | Retrieval-Augmented Generation | SIEM | SaaS | Secure System Design | Secure system | Security Architecture | Segmentation | SoC | System design | Threat modeling | Traceability | Zero Trust
Education
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