Level

Thomson Reuters

Vice President, Model Research & Development

AI in this role

Job Description

Thomson Reuters Labs is the global research and development division of Thomson Reuters, bringing together scientists, engineers, and domain experts to explore emerging technologies and develop compelling new AI products. This leadership role owns the model-development program end-to-end for Thomson Reuters's LLM model family — trained on decades of authoritative Thomson Reuters content with thousands of hours of subject-matter-expert input. This role directs an organization of scientists, research engineers, and embedded subject-matter experts responsible for advancing Thomson LLMs that ship to real users across CoCounsel, Westlaw, and Practical Law. Leadership includes setting direction for the research program and product roadmap while ensuring the accuracy, citation-grounding, and jurisdictional awareness required by the most regulated, highest-stakes professional workflows. Location: This is a hybrid role based in either Zug, Switzerland or London, UK.

Key Responsibilities

Own the model-development roadmap end-to-end including data strategy, training, evaluation, and release decisions for models that ship to real users across CoCounsel, Westlaw, and Practical Law. Set the target for an online, agentic reinforcement-learning pipeline, training with subject-matter experts in the loop, and hold the work accountable to it. Ensure data strategy and evaluation approach are rigorous and tied to measurable outcomes. Enable new product capabilities to be built directly on Thomson LLMs, with demonstrated cost and/or quality advantages over third-party alternatives. Build and retain a senior bench of scientists and engineers, including hiring the next wave of senior individual contributor and leadership talent. Partner across product, infrastructure, and editorial/subject-matter-expert teams to align model priorities with what customers actually need. Make the model-quality, safety, and cost tradeoffs the role is accountable for, and represent that judgment to executive stakeholders.

Required Qualifications

Proven program ownership leading a production LLM program end-to-end from data strategy through training, evaluation, and release decisions for models that shipped to real users, with personal responsibility for key decisions even where execution ran through your team. Technical fluency in post-training methods (SFT, preference optimization, RL), distributed training, and evaluation infrastructure sufficient to set direction, identify issues in training runs, and earn credibility with technical leads without needing to run experiments personally. Demonstrated track record through shipped models, widely-used open-source contributions, or peer-reviewed publications at top research venues (NeurIPS, ICML, ACL, EMNLP). Leadership experience directing an organization of comparable size and complexity, ideally with a manager/director layer beneath you, with proven ability to attract and retain senior individual contributors and partner effectively across product, infrastructure, and domain experts. Comfort delegating hands-on post-training and data-strategy execution to your team while retaining full accountability for outcomes.

Preferred Qualifications

Experience applying LLMs in law, tax, or another comparably regulated professional domain, or clear evidence of ability to acquire that grounding quickly. Experience with model safety, adversarial robustness, and red-teaming at the level of setting policy rather than implementing it.


#LI-PFF

 

 


What’s in it For You?

  • Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
  • Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

DISCLAIMER

The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.


 

 

About Us

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.

We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

Learn more on how to protect yourself from fraudulent job postings here.

More information about Thomson Reuters can be found on thomsonreuters.com

How we rate this

Vice President, Model Research & Development at Thomson Reuters rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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