Senior Software Engineer - AI II

Thomson Reuters
RemotePosted 7 April 2026

Job Description

We Delivers technology and product engineering capabilities for Thomson Reuters' Tax, Accounting, and Practice business. Supports the design, development, enhancement, and maintenance of products serving tax, accounting, audit, and practice-management professionals. Enables the delivery of scalable product and technology solutions across Thomson Reuters' Tax, Accounting, and Practice portfolio. About the role: Lead the technical execution of AI projects, including architecture decisions, roadmap alignment, and delivery oversight. Optimize AI performance through advanced techniques including domain-specific adaptation of third-party models and algorithms. Deliver scalable AI/ML solutions using emerging technologies and best practices in MLOps and LLMOps. Design and implement continuous monitoring of application and user behavior to support product insights and prioritization Stay abreast of AI developments and encourage learning and adoption of relevant technologies Act as a thought leader by contributing to internal forums, representing the team in areas of AI expertise, and influencing technical direction. About you: Minimum 5 years of python experience. Minimum 3 years of machine learning experience. Work experience with data science libraries like numPy, Pandas, Matplotlib. Work experience on Scikit-learn framework. Work experience on Tensorflow or Pytorch. Work experience with document analysis, computer vision and NLP problems. Building AI Agent Work experience of MLOps tools. Exposure/work experience on .Net and C#. Experience with cloud platform (preferably Azure). #LI-SS5 What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact:  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. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right d ... (truncated, view full listing at source)
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