Thomson Reuters is hiring a Lead AI Experience Engineer in Service Management and Transformation, within the CIO segment of its Technology organization. The role will build the experience layer where people and AI agents interact with operational data, helping engineers and service leaders understand system conditions, automated decisions, and actions requiring human attention. The position is hybrid and based in the Dallas, Texas office. The engineer will combine dynamic data visualization, applied AI, and UI/UX to define how AI agents exchange structured information and present it to engineers. They will design and build interactive, real-time visualizations of operational telemetry, including system topology and dependencies, event and alert streams, incident timelines, and predictive signals. The role owns the experience from research and prototyping through production tools, and sets the technical direction and shared patterns for the experience layer. The role partners with AIOps and other service and engineering teams, and mentors engineers and designers. The position is intended for a hands-on builder who can work through ambiguity, ground decisions in user research, and make complex operational systems understandable. The role supports internal users including the Global Command Center, site reliability and platform engineers, service managers, and organizational leaders. The job description calls for 8+ years designing and building software, including user-facing data-rich products, applied AI or agentic work, and setting technical direction. A degree in computer science, human-computer interaction, design, or a related field is required, or equivalent experience. The base compensation range for eligible U.S. locations is $137,100–$254,700 USD. The role may also be eligible for an annual bonus based on enterprise and individual performance.
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Job Type
Full-time
Career Level
Senior