Global AI Governance Architect - Digital & Cloud AI

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

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