Senior UX Designer

Thomson Reuters
Full-timeโ€ข$105k-155k/year (CAD)โ€ขToronto, Canada

๐Ÿ“ Job Overview

Job Title: Senior UX Designer

Company: Thomson Reuters

Location: Toronto, Ontario, Canada

Job Type: FULL_TIME

Category: User Experience (UX) Design / AI Product Design

Date Posted: 2026-05-26

Experience Level: 6+ Years Professional Experience

Remote Status: Hybrid

๐Ÿš€ Role Summary

  • Spearhead the design and development of next-generation AI-powered user experiences across Thomson Reuters' product ecosystem, focusing on intuitive and trustworthy workflows.

  • Translate complex AI model capabilities, including agentic workflows and generative interactions, into user-centered designs that balance innovation with responsible AI principles.

  • Collaborate at the intersection of user experience, product strategy, and applied AI, working closely with product management, engineering, and data science teams to define how humans interact with AI.

  • Prototype and iterate on AI-driven features, leveraging AI/LLM models to evaluate prompt effectiveness, enhance model responses, and inform product direction.

  • Design clear interaction flows that incorporate essential elements like transparency, safety guardrails, override options, and recovery states to ensure user control and reliability.

๐Ÿ“ Enhancement Note: This role is specifically focused on the emerging field of AI/LLM-driven product design, requiring a deep understanding of how users interact with intelligent systems. The emphasis on "agentic workflows" and "human-in-the-loop" systems indicates a need for designers who can manage complex, dynamic interactions rather than static interfaces. The role bridges traditional UX principles with the unique challenges and opportunities presented by artificial intelligence.

๐Ÿ“ˆ Primary Responsibilities

  • Lead the end-to-end design process for AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems, ensuring a user-centric approach.

  • Translate AI model behaviors, data inputs, and system limitations into coherent and predictable UX patterns that foster user trust and drive product adoption.

  • Prototype directly with AI/LLM models to evaluate user prompts, optimize model responses, and provide critical input for product strategy and direction.

  • Map and design sophisticated collaboration patterns between users and AI, clearly defining autonomous AI actions, human control points, and seamless handoff mechanisms.

  • Develop clear and intuitive interaction flows that seamlessly integrate transparency moments, robust safety guardrails, effective override options, and reliable recovery states.

  • Partner closely with data science and engineering teams to shape AI model requirements, assess performance constraints, and ensure system behaviors align precisely with user needs and expectations.

  • Collaborate with UX Research to conduct rigorous usability testing and AI-specific validation studies to understand user mental models, trust factors, and interaction preferences.

  • Leverage qualitative and quantitative data to execute evaluative studies for AI features, focusing on metrics such as prompt/response quality, hallucination risk, and trust signals.

  • Contribute to the development and maintenance of internal design standards for AI patterns, prompt design guidelines, evaluation criteria, and UX quality benchmarks.

  • Identify new opportunities to integrate AI for meaningful user outcome improvements by collaborating with product and research teams.

  • Communicate design decisions with exceptional clarity, effectively influence senior stakeholders, and guide teams through ambiguous or evolving problem spaces.

  • Utilize AI tooling and internal content standards to deliver clear, concise, and brand-aligned product experiences that are both functional and aesthetically consistent.

  • Design accessible solutions that adhere to WCAG 2.1 AA compliance, working with the Accessibility team and leveraging AI checks alongside expert review.

๐Ÿ“ Enhancement Note: The responsibilities highlight a proactive and influential role. The emphasis on "translating model behaviors into UX patterns," "prototyping with AI/LLM models," and "shaping model requirements" indicates that this Senior UX Designer will be deeply involved in the technical and strategic aspects of AI product development, not just the visual interface. The requirement to contribute to "internal design standards for AI patterns" suggests a leadership role in establishing best practices for AI design within the organization.

๐ŸŽ“ Skills & Qualifications

Education: While no specific degree is mandated, a strong foundation in Design, HCI, Computer Science, or a related field is implied by the experience requirements and the nature of the role.

Experience: 6+ years of professional product design experience with a proven track record of end-to-end ownership of complex workflows.

Required Skills:

  • Extensive experience designing with AI or LLM technologies, including a deep understanding of prompt design, generative UX, and evaluating model output quality.

  • Strong interaction design skills with a demonstrated ability to simplify ambiguous AI behaviors into predictable, user-centered experiences.

  • Familiarity with AI model behaviors and limitations, such as hallucinations, confidence levels, deterministic vs. probabilistic output, and the impact of data quality.

  • Proficiency in prototyping using tools such as Figma, Python notebooks, model sandboxes, or no-code AI orchestration tools.

  • Hands-on experience planning and executing end-to-end user research, including defining objectives, recruiting participants, moderating studies (interviews, usability tests, surveys, concept/validation), synthesizing insights, and translating findings into roadmap and design decisions.

  • Deep systems-thinking skills and comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows.

  • Proven experience collaborating effectively with product management, product engineering, data science, product analytics, user research, content design, accessibility, and UX engineering in high-velocity, cross-functional teams.

  • Strong communication and storytelling skills, with the ability to influence decisions and articulate the rationale behind design choices.

  • Commitment to responsible AI principles, including transparency, fairness, and user empowerment.

Preferred Skills:

  • Ability to design intuitive search, drafting, and review workflows, particularly those involving complex knowledge structures or trust-critical decision moments.

  • Comfort working with model-evaluation tooling, analytics dashboards, and prompt or version-management systems to understand and refine AI behavior.

  • Strength in shaping information architecture for large-scale content ecosystems, including clear citation patterns, confidence signals, and quality indicators.

  • Familiarity with domain-heavy environments such as newsroom tooling, legal research, tax and compliance, risk and fraud, or financial analysis.

  • Experience shipping zero-to-one products, iterating rapidly through ambiguity to test hypotheses, derisk bets, and accelerate product-market fit.

๐Ÿ“ Enhancement Note: The "About You" section provides a robust set of qualifications. The emphasis on 6+ years of experience, coupled with specific expertise in AI/LLM technologies and a strong portfolio, positions this as a senior-level role. The mention of "prototyping with real AI/LLM models" and "familiarity with model behaviors and limitations" is critical for candidates to highlight, as it differentiates this role from general UX design positions. The preference for experience in "domain-heavy environments" suggests that candidates with experience in Thomson Reuters' core industries (legal, tax

Application Requirements

Requires 6+ years of professional product design experience with a strong portfolio and specific expertise in AI/LLM technologies. Must be proficient in prototyping tools and capable of executing end-to-end user research to inform design decisions.