Lead Product AI Solutions Specialist

Thomson Reuters • Washington, DC

1d • $119,700 - $256,100 • Hybrid

About The Position

Thomson Reuters is seeking a Lead AI Solutions Specialist to drive the development and implementation of innovative AI-powered solutions, with a focus on legal research tools. The role applies legal subject matter expertise and customer perspectives to develop content for and evaluate generative AI product functionality. It works closely with product and technology teams, customers, engineers, and data scientists to develop AI systems and improve the quality and accuracy of their outputs.

The position includes creating and maintaining gold data sets, monitoring automated testing, developing and maintaining customer-facing AI content, contributing to customer use cases and legal process analysis, and participating in prompt development and fine-tuning. The specialist also provides strategic feedback, prepares training and guidance materials, supports project onboarding, and mentors others.

Thomson Reuters offers a flexible hybrid environment for office-based roles. The role may be eligible for an annual bonus, and the company describes a broad benefits and wellbeing program. The advertised base salary range is $137,900–$256,100 for certain listed locations and $119,700–$222,300 for other eligible U.S. locations.

Requirements

• Juris Doctor (JD) from an accredited law school.
• Bar admission in at least one jurisdiction; this may be required for some roles.
• Experience using relevant online legal research tools, such as CoCounsel, Westlaw, or Practical Law.
• Advanced knowledge of fundamental AI concepts and their application in professional contexts.
• Experience applying analytical thinking to develop complex AI evaluation schemes and benchmarks.
• Ability to create, test, and refine user queries and prompts for LLMs.
• Exceptional analytical thinking skills, including the ability to dissect complex problems and formulate data-driven solutions.

Nice To Haves

• Two to five years of experience in a law firm or in-house setting is strongly preferred.
• Strong analytical thinking, legal research, and writing abilities, with attention to detail.
• A continuous improvement mindset and a passion for exploring how subject matter expertise can be applied in AI research.
• Adaptability and resilience in a dynamic, fast-paced environment.
• Strong leadership skills with a strategic mindset.

Responsibilities

• Apply legal subject matter expertise and customer perspectives to drive AI research and product development.
• Work with product and technology teams to define and develop AI systems.
• Lead the creation and maintenance of gold data sets.
• Implement, review, and monitor automated testing outputs and processes.
• Create, evaluate, and maintain advanced customer-facing content for AI systems.
• Contribute to advanced customer use-case development and legal process analysis.
• Participate in prompt development and fine-tuning.
• Provide strategic feedback to engineers and data scientists on AI output quality and accuracy.
• Engage with customers and contribute to product development.
• Draft training and guidance materials, carry out project onboarding, and mentor others.

Benefits

• Flexible hybrid work environment for office-based roles.
• Work from anywhere for up to eight weeks per year.
• Flexible vacation and paid time off, including sick and safe time and paid holidays.
• Two company-wide Mental Health Days off annually.
• Access to the Headspace app.
• Retirement savings plan with company match.
• Tuition reimbursement.
• Employee incentive programs and possible annual bonus.
• Resources for mental, physical, and financial wellbeing.
• Health, dental, vision, disability, and life insurance.
• Parental leave.
• Sabbatical leave.
• Flexible Spending and Health Savings Accounts.
• Fitness reimbursement.
• Employee Assistance Program.
• Commuter benefits.
• Adoption and surrogacy assistance.
• Employee Stock Purchase Plan.
• Two paid volunteer days off annually.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree