Principal Engineer - Digital AI, Consumer TIC

UL, LLC; Melville (NY); Hybrid; USD 155,000 - 250,000; Full time

Benefits offered by this job

Annual bonus

Health benefits

401K

Job summary

UL LLC seeks a Principal Engineer - Digital AI to lead governance for AI systems, oversee model risk management, and translate evolving regulations into scalable UL Solutions offerings. The role spans enterprise AI governance, cloud AI, and generative models, with focus on risk controls and lifecycle assurance.

Hybrid work with three days onsite and remote consideration for non-local candidates. A strong background in AI evaluation, testing, and stakeholder engagement is essential for shaping

Qualifications

• Bachelor's degree or higher in a technical discipline. Advanced degree preferred.
• 15+ years in software platforms, cloud systems, AI/ML, or related tech domains.
• Demonstrated experience translating AI governance and regulatory requirements into evaluation methodologies and assurance frameworks.
• Experience testing AI systems including bias, safety, and reliability considerations.

Responsibilities

• Provide technical leadership for AI governance, risk management, and lifecycle assurance.
• Translate emerging AI regulations and standards into practical offerings and services.
• Collaborate with stakeholders to develop evaluation methodologies and certification programs.

Skills

AI governance

Model risk mgmt

Regulatory requirements

AI testing

Benchmarking

Red teaming

Bias evaluation

Robustness testing

Model monitoring

Stakeholder engagement

Presentation

Education

Bachelor's degree in CS/SE/AI

Advanced degree preferred

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.

This is a hybrid role requiring 3 days onsite in any UL office globally. Remote will be considered for candidates not local to an office.

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:

• US 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-$250,000 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).

UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:

Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.