Director, Agentic AI for Tax & Accounting

Thomson Reuters

United States

Remote

USD 198,000 - 368,000

Full time

14 days+

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Benefits offered by this job

401k with company match

Mental Health Days

Tuition Reimbursement

Employee Stock Purchase Plan

Flexible Spending Account

Health, Dental, Vision insurance

Paid time off & holidays

Parental leave

Job summary

Thomson Reuters Labs seeks an experienced applied science leader with a strong product mindset to head a high-performing team delivering transformative AI solutions for tax, audit, and accounting professionals. Work closely with product engineering, domain experts, and business stakeholders to build production-grade AI capabilities that enhance workflows, accuracy, and trust in high-stakes environments.

Join a collaborative organization aiming to push the boundaries of AI in regulated domains

Qualifications

PhD in Computer Science, Machine Learning, or closely related field, or Master’s with strong publication record.
10+ years of hands-on industry AI/ML experience; production experience required.
Recent hands-on experience developing LLM-based and agentic AI systems for production.
5+ years managing high-performing applied science/AI research teams.
Product-facing roles with measurable business impact.
Strong information retrieval and NLP expertise, with domain knowledge across complex verticals.
Experience with taxonomy induction, document understanding, agentic search, knowledge graphs, or neuro-symbolic AI.
Experience evaluating AI agents and language-model systems with rigorous quality metrics.
Publications at ACL/EMNLP/NAACL/NeurIPS/ICLR/SIGIR/KDD or equivalent.
Experience building AI solutions for tax, legal, audit, accounting, or regulated domains.
Track record of leadership at top tech companies or high-growth startups.
Strong communication and influencing skills with cross-functional stakeholders.
Passion for developing people and inclusive, high-performing cultures.

Responsibilities

Lead and develop a high-performing applied science team focused on agentic AI for tax and accounting professionals.
Drive design, development, and delivery of AI features that reimagine workflows in high-stakes settings.
Set technical direction for applied research balancing rigor, value, feasibility, and timelines.
Transition research into scalable, production-ready capabilities with product engineering.
Advise Labs leadership and stakeholders on long-term AI strategy and roadmaps.
Inform product strategy using analytics, metrics, and customer feedback.
Advance approaches for LLM-based systems, agentic workflows, retrieval, and knowledge representation.
Ensure AI systems meet accuracy, verification, observability, and safety requirements.
Engage domain experts in workshops, experiments, and solution validation.
Foster innovation, collaboration, and continuous learning across the team.
Represent TR Labs in internal forums and external research communities.