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Our mission is to make the world a safer, more secure and sustainable place.
The Role
Provides global technical leadership for digital AI standards, certification, assurance, training, advisory, and assessment services. Develops AI governance and lifecycle assurance methodologies covering predictive and generative AI, LLMs, agents, cloud AI, model risk, testing, transparency, fairness, privacy, security, robustness, and operational resilience. Translates regulations, standards, emerging technologies, and customer needs into scalable offerings while engaging customers, regulators, standards bodies, and internal stakeholders.
Summary Generated by Built In
JOB DESCRIPTION
Principal Engineer - Digital AI, Consumer TIC serves as the Global Subject Matter Expert for Digital AI technologies, enabling UL Solutions to develop standards, certification, assurance, training, advisory, and assessment services across digital AI systems. This role provides technical leadership for AI governance, enterprise and cloud AI, predictive and Generative AI, foundation and frontier models, AI agents and agentic workflows, multi-agent systems, and AI lifecycle assurance. The position translates emerging technologies, regulations, standards, and customer needs into scalable UL Solutions offerings that strengthen the company's AI standards and services portfolio.
QUALIFICATIONS
Must Have
What we offer:
Principal Engineer - Digital AI, Consumer TIC serves as the Global Subject Matter Expert for Digital AI technologies, enabling UL Solutions to develop standards, certification, assurance, training, advisory, and assessment services across digital AI systems. This role provides technical leadership for AI governance, enterprise and cloud AI, predictive and Generative AI, foundation and frontier models, AI agents and agentic workflows, multi-agent systems, and AI lifecycle assurance. The position translates emerging technologies, regulations, standards, and customer needs into scalable UL Solutions offerings that strengthen the company's AI standards and services portfolio.
QUALIFICATIONS
Must Have
- 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.
What we offer:
- Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $155,000-$175,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 20% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours).
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Information Systems, or a related technical discipline.
- 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.
- At least 5 years of direct experience working with AI technologies.
- Experience translating AI governance, model risk management, and regulatory requirements into evaluation methodologies, controls, assurance frameworks, certification programs, or customer-facing services.
- Experience evaluating and testing AI systems, including identifying failure modes, risks, and control gaps related to performance, transparency, traceability, explainability, reliability, robustness, human oversight, fairness, privacy, security, accountability, and resilience.
- Working knowledge of AI evaluation and testing methods, including benchmarking, scenario-based testing, red teaming, bias and fairness evaluation, robustness testing, model monitoring, and risk-mitigation control assessment.
- Working knowledge of predictive AI, machine learning, generative AI, LLMs, foundation and frontier models, RAG, AI agents, and multi-agent systems and their associated risks.
- Strong presentation, technical writing, thought leadership, and stakeholder engagement capabilities.
- 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.
- Ability to influence customers, regulators, standards committees, industry forums, cross-functional business leaders, and technical stakeholders.
What the Team is Saying
Jacqueline
Senior Software Sales Executive
Min
Software Product Manager
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Shubhankar
Sr. Data Scientist
Anthony
IT Technical Specialist
Emily
Software Solution Architect
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Ebony
Project Manager
Michael
Senior Director IT, Business Enablement
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UL Solutions Compensation & Benefits Highlights
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Strong & Reliable Incentives — All employees are eligible for a broad-based annual incentive bonus, and formal plan language references an All Employee Incentive Plan. This companywide structure is consistently presented as a core element of total rewards.
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Retirement Support — U.S. materials describe a meaningful 401(k) match complemented by an additional company contribution after the first year of service. Employer-verified listings also point to protections like disability and life insurance that bolster long-term financial security.
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Healthcare Strength — Health plans offer multiple options (PPO and HDHPs) with the employer covering a substantial share of premiums. Complementary features such as dental, vision, HSA/FSA options, and periodic company contributions to accounts are also noted.
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The Company
What We Do
A global leader in applied safety science, UL Solutions transforms safety, security and sustainability challenges into opportunities for customers in more than 100 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers’ product innovation and business growth. The UL Certification Marks serve as a recognized symbol of trust in our customers’ products and reflect an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.
Why Work With Us
Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion and excellence.
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UL Solutions Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Depending on the role we offer hybrid or remote opportunities.
Typical time on-site:
Flexible
