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# Principal Engineer - Digital AI, Consumer TIC

- **Company:** UL
- **Location:** Vancouver, WA, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Computing Platforms, Cyber Security, Information Systems, Computer Engineering, Information Leak Prevention, Monitoring of Systems, Machine Learning, Software Engineering, Cloud Platform System, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, AI Platforms, Information Technology, Machine Learning Operations, Drift Detection
- **Published:** October 16, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3451626099&tx=FK5956FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Information Systems, or a related technical discipline. Advanced degree preferred.
 * 15+ years of technical experience in software platforms, cloud systems, AI/ML systems, cybersecurity, technology risk, model lifecycle management, digital assurance, or related technology domains, including 5+ years of direct experience working with AI technologies.
 * Demonstrated experience translating AI governance, model risk management, and regulatory requirements into practical evaluation methodologies, controls, assurance frameworks, certification programs, or customer-facing services.
 * Demonstrated ability to evaluate and test AI systems and identify failure modes, risks, and control gaps, including model performance, transparency, traceability, explainability, reliability, robustness, human-in-the-loop controls, fairness and bias, privacy, security, accountability, and operational resilience.
 * Working knowledge of AI evaluation and testing methodologies, including benchmarking, scenario-based testing, red teaming, bias and fairness evaluation, robustness testing, model monitoring, and assessment of risk-mitigation controls.
 * Working knowledge of predictive AI and machine learning, Generative AI, Large Language Models (LLMs), foundation and frontier models, retrieval-augmented generation (RAG), AI agents, multi-agent systems, and associated technical, operational, and governance risks, including hallucinations, prompt injection, jailbreaks, data leakage, model drift, unsafe actions, and output reliability.
 * Strong presentation, technical writing, thought leadership, and stakeholder engagement capabilities.

Preferred to Have

 * Advanced degree in Artificial Intelligence, Machine Learning, Robotics, Computer Science, Data Science, or a related technical discipline.
 * Familiarity with AI governance frameworks, standards, and emerging global AI regulatory requirements.
 * Experience developing or applying standards, conformity assessment methodologies, certification programs, audit frameworks, testing approaches, technical requirements, or commercial services for emerging technologies.
 * Demonstrated ability to influence customers, regulators, standards committees, industry forums, cross-functional business leaders, and technical stakeholders.