Jobs at Thomson Reuters

The Staff Data Engineer will develop cloud-native data platforms, lead technical strategy, optimize pipelines, ensure data quality, and mentor engineers.

As a Lead Applied Scientist, you will define research strategy, mentor teams, and innovate AI/ML solutions for legal and other professional sectors.

Create and maintain practical, up-to-date data privacy and cybersecurity legal content for Practical Law; monitor global legal developments; support development and integration of AI-powered legal tools; collaborate with product, contributors, and business teams; respond to customer inquiries and support sales/marketing as needed.

Lead strategic planning, performance management, and operational processes for marketing. Build dashboards and OKR frameworks, produce executive narratives and decision-support analyses, and manage cross-functional strategic initiatives. Leverage AI tools to accelerate research, drafting, automation, and anomaly detection while ensuring human judgment and stakeholder alignment.

Lead and build shared AI infrastructure and production-grade agents for a product analytics team. Establish repo standards, evaluation tooling, governance compliance, monitor production agents, close data pipeline gaps, and drive adoption across ~35 analysts and 60+ products while interfacing with cross-team AI and data platform partners.

The Data Scientist will design and maintain predictive models for customer growth, collaborating with various teams to ensure actionable insights and model performance.

The Lead Data Engineer will architect and develop reporting solutions, integrate AI, analyze complex datasets, and mentor team members to enhance data-driven decision-making.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

Lead platform and AI technical vision for ONESOURCE, designing large-scale distributed systems and microservices, driving architecture, standards, modernization, and cross-product engineering initiatives while mentoring teams and enabling AI adoption.

The Lead AI Forward Engineer designs AI solutions, guiding implementations for scalability and compliance, while mentoring teams and shaping technology strategy.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.

The Senior Manager of AI and Innovation Communications will lead communications strategies for AI products, customer storytelling, and executive thought leadership, engaging with technology teams to craft impactful narratives.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

The CPQ Lead Solution Engineer will drive engineering strategy and implementation of CPQ solutions, provide technical leadership, collaborate with teams, and ensure system stability.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Staff Software Engineer, you'll design scalable backend services, oversee architecture decisions, optimize performance, and enhance CI/CD processes while collaborating with teams.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

The role involves leading the design and delivery of a search platform's API and cloud infrastructure, focusing on providing self-service capabilities to internal clients. Responsibilities include API ownership, cloud infrastructure management, reliability engineering, and technical leadership.

The Staff Software Engineer will lead the design and implementation of the ingestion and indexing pipeline for a search platform, ensuring operational health and scalability while leveraging distributed systems and AI technology.