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About the Role

Thomson Reuters Labs is seeking an experienced applied science leader with a strong product mindset to lead a team developing transformative AI solutions for tax, audit, and accounting professionals. This role will lead applied research and development for the next generation of agentic AI capabilities supporting tax and accounting professionals, creating new workflows that address fundamental industry challenges. You will join the R&D organization supporting Thomson Reuters' tax product portfolio, including Checkpoint, CoCounsel Tax, and OneSource. This is a highly collaborative leadership role partnering closely with product engineering, product management, domain experts, and business stakeholders to bring high-value AI capabilities into production, especially in high-stakes environments where accuracy, verification, and customer trust are essential.

Responsibilities

Lead and develop a high-performing applied science team focused on agentic AI solutions for tax and accounting professionals.
Drive the design, development, and delivery of AI features that meaningfully reimagine customer workflows in high-stakes, accuracy-critical settings.
Set technical direction for applied research initiatives, balancing scientific rigor, customer value, product feasibility, and delivery timelines.
Partner closely with product engineering teams to transition research innovations into scalable, reliable, production-ready capabilities.
Serve as a strategic thought partner to Labs leadership, product leadership, and key business stakeholders on long-term AI strategy, external partnerships, and capability roadmaps.
Influence product strategy through deep technical expertise and insights derived from product usage data, quality metrics, evaluations, and customer feedback.
Develop and advance approaches for LLM-based systems, agentic workflows, information retrieval, document understanding, knowledge representation, and AI evaluation.
Ensure AI systems are designed with appropriate accuracy, verification, observability, safety, and quality controls for professional tax and accounting use cases.
Engage tax, audit, accounting, and other subject-matter experts in concept development, design workshops, experimentation, and solution validation.
Continuously improve ways of working across R&D and product engineering in a fast-paced, tightly embedded delivery environment.
Foster a culture of innovation, rigor, collaboration, technical excellence, and continuous learning across the team.
Represent TR Labs and the broader tax technology organization in internal technical forums, cross-functional initiatives, and relevant external research communities.

Requirements

Accomplished applied science leader combining deep AI and machine learning expertise with a strong product orientation and a record of delivering commercial impact.
Excited by the challenge of translating emerging AI research into practical, high-value capabilities for professionals operating in complex and highly regulated domains.
Understands that success is not defined solely by model performance, but by the ability to create trustworthy solutions that improve real customer workflows.
Hands-on experience building production-grade LLM and agentic AI systems, along with the technical depth to guide architectural and scientific decisions across a team of experienced researchers and engineers.
Comfortable operating across strategy and execution: setting research direction, influencing product roadmaps, engaging domain experts, evaluating technical trade-offs, and supporting teams as they deliver production-ready solutions.
Builds trust through scientific credibility, customer empathy, thoughtful collaboration, and a commitment to developing exceptional talent.
PhD in Computer Science, Machine Learning, or a closely related field; or a Master's degree with equivalent depth, a strong scientific background, and a relevant publication record.
10+ years of hands-on industry experience building AI and machine learning systems for commercial applications; research-only experience is not sufficient.
Recent, direct hands-on experience developing LLM-based and agentic AI systems for production, non-trivial use cases.
5+ years of experience managing and developing high-performing applied science, machine learning, or AI research teams.
Demonstrated success in product-facing or customer-facing roles, with measurable business and customer impact as the primary measure of success.
Technical depth in AI and machine learning sufficient to challenge assumptions, expand upon team ideas, guide high-quality technical decisions, and establish effective research direction.
Strong expertise in information retrieval and natural language processing, particularly in complex vertical domains.
Experience with one or more of the following: taxonomy induction, document understanding, agentic search, knowledge graphs, neuro-symbolic AI, or comparable approaches for complex knowledge-intensive workflows.
Experience evaluating AI agents and language-model-based systems, including approaches involving verifiable rewards, synthetic data generation, and rigorous quality measurement.
A relevant publication record, including publications at ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD, or equivalent venues.
Experience building AI solutions for tax, legal, audit, accounting, or other highly regulated and knowledge-intensive domains.
A demonstrated track record of growth and leadership at top-tier technology companies, high-growth startups, or similarly demanding environments.
Strong communication and influencing skills, with the ability to work effectively with applied scientists, engineers, product leaders, domain experts, and senior business stakeholders.
A passion for developing people, building strong teams, and creating an inclusive, high-performing culture.

Skills

AI
Machine Learning
Product Mindset
Agentic AI
LLM-based systems
Information Retrieval
Document Understanding
Knowledge Representation
AI Evaluation
Natural Language Processing
Taxonomy Induction
Agentic Search
Knowledge Graphs
Neuro-symbolic AI
AI Agents
Language-model-based systems
Communication
Influencing

Location

United States

Work Type

Work from anywhere for up to 8 weeks per year
Flexible work arrangements

Experience Level

10+ years of hands-on industry experience building AI and machine learning systems for commercial applications
5+ years of experience managing and developing high-performing applied science, machine learning, or AI research teams

Education Level

PhD in Computer Science, Machine Learning, or a closely related field
Master's degree with equivalent depth, a strong scientific background, and a relevant publication record

Salary/Compensations

$198,200 USD - $368,000 USD

Benefits

Flex My Way workplace policies
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development opportunities
Grow My Way programming
Skills-first approach
Comprehensive benefit plans
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
Market competitive health, dental, vision, disability, and life insurance programs
Competitive 401k plan with company match
Competitive vacation, sick and safe paid time off
Paid holidays (including two company mental health days off)
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Employee Stock Purchase Plan
May be eligible for an Annual Bonus based on a combination of enterprise and individual performance

About the Company

Thomson Reuters Labs experiments, builds, and delivers, supporting the organization and customers through applied research and innovation.
Thomson Reuters brings together critical ingredients to build differentiated AI solutions in the tax, audit, and accounting space.
Thomson Reuters informs the way forward by bringing together 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.
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.

Equal Opportunity

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.