Senior UX Designer

Role Overview

Senior UX Designer shaping AI-powered experiences across Thomson Reuters’ product ecosystem. You will translate complex AI model capabilities into intuitive, user-centered workflows, collaborating across product, engineering, and data science to build responsible AI interactions.

Responsibilities

• Lead end-to-end design of AI-powered features, including:
  • Agentic workflows
  • Generative interactions
  • Human-in-the-loop systems
• Partner closely with Product Management, Product Engineering, and Data Science to deliver experiences that balance innovation with responsible AI practices.
• Design and run usability testing and AI-specific validation studies to understand:
  • User mental models
  • Trust factors
  • Interaction expectations
• Convert AI system behaviors and constraints into clear UX (e.g., hallucination behavior, confidence signals, deterministic vs. probabilistic outputs, and data quality effects).
• Prototype and iterate using tools such as Figma, Python notebooks, model sandboxes, or no-code AI orchestration.
• Perform end-to-end user research (objectives, recruiting, moderation, synthesis) and translate findings into roadmap and design decisions.

Requirements

• 6+ years of professional product design experience with a strong portfolio showing end-to-end ownership of complex workflows.
• Strong collaboration across product management, product engineering, data science, and related functions (research, analytics, content design, accessibility, UX engineering).
• Demonstrated familiarity with model behaviors and limitations, including hallucinations, confidence levels, and data quality impacts.
• Experience designing with AI / LLM technologies, including:
  • Prompt design
  • Generative UX
  • Evaluating model output quality
• Deep systems thinking across multiple layers (UI, data inputs, model constraints, operational workflows).
• Strong interaction design and ability to simplify ambiguous AI behaviors into predictable experiences.
• Excellent communication and storytelling skills to influence decisions and explain design rationale.
• Experience shaping information architecture for large-scale content ecosystems (citation patterns, confidence signals, quality indicators).

Nice-to-Haves / Additional Context

• Comfort designing search, drafting, and review workflows for complex knowledge structures and trust-critical moments.
• Experience with model evaluation tooling, analytics dashboards, and prompt/version management.
• Domain exposure in environments such as newsroom tooling, legal research, tax & compliance, risk & fraud, or financial analysis.
• Track record of zero-to-one delivery and rapid iteration through ambiguity to derisk bets and accelerate product-market fit.