Jobs at Thomson Reuters

The Product Manager, AI Tax Preparation leads the development of innovative tax preparation products, leveraging AI to enhance user experience for tax professionals. Responsibilities include product strategy, collaboration with cross-functional teams, and ensuring delivery of valuable features based on customer needs.

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

Lead the development of backend services and APIs for AI-driven products, collaborate with cross-functional teams, and oversee complex projects. Focus on building scalable systems while contributing to the frontend when necessary.

The Lead Software Engineer, AI will drive AI innovation, lead model development, provide technical leadership, and ensure production quality in AI systems.

The Manager, AI and Innovation Communications at Thomson Reuters will develop content and communications programs, support storytelling, monitor AI trends and engage with media, while managing cross-functional teams.

Lead AI and innovation communications strategy, product launches, customer stories, and executive thought leadership for Thomson Reuters, enhancing the firm's position as a leader in AI for professionals.

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.

As a Research Engineer, you will develop scalable ML solutions, engage in software development, and apply machine learning techniques in a team-oriented environment.

As an Applied Scientist, you will develop and implement AI and machine learning solutions, design experiments, build models, and collaborate with product and engineering teams to address business problems.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

Lead QA Engineer role focused on owning quality outcomes in software development, driving quality culture, mentoring others, and managing automated testing frameworks in a dynamic environment. Requires extensive experience in software quality engineering and testing technologies.

The Senior AI Red Team Analyst executes red team operations, simulates adversary behavior, collaborates on security exercises, and contributes to defensive strategies against modern attack scenarios.

The Product Manager will lead product execution for the CoCounsel Legal FDE team, manage customer engagement, and oversee product lifecycle management, ensuring tailored solutions are effectively integrated and productized.

Lead and develop project managers while overseeing execution of complex cross-functional programs, managing budgets and stakeholder communication effectively.

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

The Senior Inference Engineer will optimize and scale AI workloads, improve model performance, and integrate AI models into production APIs while collaborating with various teams.

The Senior Machine Learning Engineer will develop scalable machine learning solutions and integrate them to meet business needs. Responsible for documentation, code reviews, and establishing best practices, this role requires collaboration with various stakeholders and providing technical guidance.

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.

The Strategic Account Executive drives growth within enterprise Corporate Legal departments by developing engagement strategies, leading complex sales cycles, and aligning customer needs with tailored solutions, often at the C-Suite and Board level.

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.