Salt Lake City, UT30+ days ago
This includes oversight of mitigations such as AI Firewall Implementation and Management, User/App/Model Firewalling/Filtering, AI System Observability, System Acceptance Testing, Data Quality and Classification/Sensitivity, Human Feedback Loop for AI Systems, LLM-as-a-Judge automated evaluation, Providing Citations and Source Traceability, AI Model Version Pinning, Agent Authority Least Privilege Framework, Tool Chain Validation and Sanitization, Agent Decision Audit and Explainability, Multi-Agent Isolation and Segmentation, Data Filtering From External Knowledge Bases, Preserving Source Data Access Controls in AI Systems, Role-Based Access Control for AI Data, Encryption of AI Data at Rest, and Quality of Service and DDoS Prevention for AI Systems. This professional will be responsible for continuously identifying, monitoring, measuring, and assessing operational risks associated with the firm''s AI architecture decisions, including secure-by-design principles, model governance within the tech stack, infrastructure resilience, explainability, data quality and drift, prompt injection defenses, and the alignment of technical architecture with the firm''s AI risk appetite.