Jobs at Thomson Reuters

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

Lead complex federal and high-value contract negotiations and relationships, drive quota-carrying sales and renewals, ensure federal compliance, collaborate cross-functionally (procurement, legal), and develop contracting strategies to grow revenue with major federal, state, and local accounts.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Create and maintain practical legal know‑how content for startups on capital markets and corporate governance, monitor legal developments, support AI-powered product and editorial tool development, partner with product management, manage external contributors, and support sales and customer inquiries.

Lead end-to-end engineering for search and retrieval systems powering traditional search and agentic AI workflows: design ingestion/indexing, ranking, evaluation, productionize models, operate APIs on AWS, lead a squad, and collaborate with applied scientists to run experiments and measure real retrieval quality.

Lead design, build, and deploy large-scale search and information retrieval systems for legal and enterprise content. Own indexing, ingestion, ranking and re-ranking, semantic and hybrid retrieval, LLM-enhanced RAG architectures, evaluation frameworks, and production optimization. Mentor scientists, drive technical decisions, and partner with engineering to deliver reliable, scalable search services.

Lead full‑stack development of customer‑facing features using React/TypeScript and Python, design and deliver GenAI/LLM integrations (agentic workflows, MCP/A2A), set technical standards, collaborate with product/design/platform, drive execution, and mentor engineers to improve code quality and system reliability.

Lead end-to-end migrations from legacy platforms to CoCounsel Tax, driving discovery, readiness planning, enablement, adoption tracking, and cross-functional coordination. Create migration artifacts, run customer and internal working sessions, support onboarding and training, synthesize field feedback for product improvements, and help produce customer success stories.

Lead a hands-on AI engineering team to design, build, version, and govern AI skills and agents powering end-to-end marketing workflows. Architect production-grade, compliant, portable capabilities; manage cross-functional dependencies; enforce quality, monitoring, cost controls, and legal/privacy/accessibility guardrails; and measure business outcomes and adoption.

Lead full stack initiatives at Materia AI, developing AI-powered software for accounting with a focus on building user-centric applications and robust back-end systems.

Use specialist Private Equity legal expertise to research, write, edit, and maintain Practical Law content; support development and application of AI-powered legal solutions and internal AI editorial tools; liaise with lawyers and internal teams to ensure content reflects market practice.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Hands-on technical leader building full‑stack customer-facing features across React/TypeScript frontends and Python/Node backends, contributing to AI capabilities (LLM integrations, agentic workflows, MCP), setting technical standards, mentoring engineers, and driving delivery from design through production.

Design and implement full-stack customer-facing features using React, TypeScript, and Python. Contribute to AI-powered capabilities (LLM integrations, agentic workflows, MCP/A2A), ensure code quality, collaborate with product and design, own workstreams end-to-end, and mentor through pairing and reviews.

Lead end-to-end customer migrations from legacy platforms to CoCounsel Tax, plan migration readiness, support sales and onboarding, create adoption materials, run working sessions, track migration health, synthesize feedback, and deliver internal recommendations to accelerate adoption and reduce friction.

Serve as a senior, client-facing advisor to major accounting, audit, and tax firms on AI strategy, transformation roadmaps, and operating model design. Build trusted C-suite relationships, guide pre- and post-sale engagement, convey firm needs to product teams, represent Thomson Reuters at industry forums, and influence firm technology and AI adoption decisions.