Sr. UX Designer

📍 Job Overview

Job Title: Sr. UX Designer

Company: Thomson Reuters

Location: Toronto, Ontario, Canada

Job Type: FULL_TIME

Category: UX Design / Product Design (AI Focus)

Date Posted: 2026-05-15

Experience Level: 5-10 years

🚀 Role Summary

• Lead the end-to-end design of AI-powered features, focusing on agentic workflows and human-in-the-loop systems, translating complex model capabilities into intuitive and trustworthy user experiences.

• Define how humans collaborate with AI by designing interactions, feedback loops, transparency moments, and control surfaces that ensure AI feels both powerful and reliable across Thomson Reuters' product ecosystem.

• Collaborate closely with product management, product engineering, and data science teams to build innovative experiences that balance cutting-edge AI with responsible AI practices.

• Ideal for a designer who thrives in ambiguity, understands the unique behaviors and constraints of AI systems, and can convert them into clear, user-centered solutions.

📝 Enhancement Note: This role is positioned at a Senior level, indicating a need for leadership in design strategy, mentorship, and the ability to influence product direction in a rapidly evolving AI landscape. The emphasis on AI and LLM technologies signifies a specialized and in-demand area within UX design.

📈 Primary Responsibilities

• Lead the end-to-end design of AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems, ensuring user-centricity throughout the product lifecycle.

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

• Prototype with real AI/LLM models to evaluate user prompts, refine model responses, and inform strategic product direction.

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

• Create clear interaction flows that integrate essential elements such as transparency moments, robust safety guardrails, override options, and effective recovery states.

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

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

• Leverage qualitative and quantitative data to run evaluative studies for AI features, focusing on aspects like 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.

• Collaborate with product and research teams to identify and capitalize on new opportunities where AI can significantly enhance user outcomes.

• 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.

• Design accessible solutions and collaborate with the Accessibility team to ensure WCAG 2.1 AA compliance, employing AI checks alongside expert review.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on hands-on AI interaction design, requiring the candidate to not only design but also understand and prototype with AI models. The inclusion of responsible AI principles and accessibility indicates a commitment to ethical and inclusive design practices.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Design, Computer Science, or a related field is typically expected for a Senior UX Designer role.

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

Required Skills:

• End-to-end product design expertise, demonstrated through a strong portfolio showcasing the ownership of complex workflows.

• Experience designing with AI or LLM technologies, including prompt design, generative UX, and evaluating model output quality.

• Strong interaction design skills with a proven 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 data quality impacts.

• 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 with comfort designing across multiple layers: UI, data inputs, model constraints, and operational workflows.

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

• Strong communication and storytelling skills, essential for influencing decisions and articulating 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, and the ability to translate complexity into usable experiences.

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

📝 Enhancement Note: The emphasis on AI/LLM experience, prompt design, and model behavior familiarity is crucial. The requirement for prototyping with AI models and conducting AI-specific validation studies differentiates this role from a standard UX position.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end ownership of complex workflows, showcasing the entire design process from problem identification to final solution.

• Include case studies that highlight experience designing with AI or LLM technologies, specifically detailing prompt design, generative UX, and the evaluation of model output quality.

• Showcase strong interaction design skills through examples that simplify complex or ambiguous system behaviors into intuitive user experiences.

• Present examples of user research conducted, detailing methodologies used (interviews, usability tests, surveys), synthesis of insights, and how these insights informed design decisions and product roadmaps.

Process Documentation:

• Illustrate the process of translating AI model behaviors and limitations into clear UX patterns, including how user trust and adoption were considered.

• Detail how collaboration patterns between users and AI were mapped and designed, showing the definition of autonomous actions, human control points, and handoff mechanisms.

• Present case studies where qualitative and quantitative data were used for evaluative studies of AI features, focusing on metrics like prompt/response quality, hallucination risk, and trust signals.

• Show examples of contributions to internal design standards, such as AI pattern guidelines, prompt design best practices, or UX quality benchmarks.

• Include examples of designing accessible solutions, demonstrating adherence to WCAG 2.1 AA compliance and the use of AI checks alongside expert review.

📝 Enhancement Note: The portfolio must strongly emphasize AI/LLM design experience. Candidates should prepare to discuss their approach to designing for ambiguity, handling model limitations, and ensuring responsible AI practices through specific project examples.

💵 Compensation & Benefits

Salary Range: $105,000 - $155,000 CAD per year (Base Salary)

• This range is specific to Ontario, Canada, and reflects a competitive market rate for a Senior UX Designer with specialized AI experience in this region.

Benefits:

• Flexible Vacation: Generous paid time off to support work-life balance.

• Mental Health Days: Two company-wide Mental Health Days off to promote well-being.

• Headspace App Access: Subscription to the Headspace app for mindfulness and mental wellness.

• Retirement Savings: Comprehensive retirement savings plans to support long-term financial security.

• Tuition Reimbursement: Financial support for continuing education and professional development.

• Employee Incentive Programs: Opportunities for bonuses and other performance-based incentives.

• Wellbeing Resources: Access to resources for mental, physical, and financial well-being.

• Paid Volunteer Days: Two paid days off annually to engage in community service and social impact initiatives.

Working Hours:

• Standard full-time hours are assumed to be around 40 hours per week. The hybrid work model allows for flexibility, with the expectation of 2-3 days per week in the office.

• The "Flex My Way" policy further supports work-life balance, including up to 8 weeks of "work from anywhere" per year.

📝 Enhancement Note: The salary range is provided for Ontario, Canada, based on the explicit disclosure in the job description. The benefits package is extensive, emphasizing employee well-being, continuous learning, and community engagement, which are attractive aspects for senior-level professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Technology, Legal, Tax, Accounting, Compliance, Government, and Media. Thomson Reuters is a leader in providing trusted content and technology solutions that empower professionals.

Company Size: Thomson Reuters is a large, global organization with approximately 26,000 employees across more than 70 countries. This scale offers opportunities for broad impact and diverse career paths.

Founded: Thomson Reuters was formed in 2007 through the acquisition of Reuters by The Thomson Corporation. Its history spans over 160 years, with roots in information provision and journalism.

Team Structure:

• The UX Design team operates within a cross-functional product development structure, likely comprising UX Designers, UX Researchers, Content Designers, and UX Engineers.

• Reporting structures will involve designers working closely with Product Managers, Product Engineers, and Data Scientists, likely with a lead designer or design manager overseeing the team's strategic direction.

Methodology:

• Data Analysis & Insights: A strong emphasis on leveraging both qualitative (user research, interviews) and quantitative (analytics, AI model performance metrics) data to inform design decisions and measure impact.

• Workflow Planning & Optimization: Designing and refining complex workflows, particularly those involving AI, to enhance efficiency, accuracy, and user trust.

• Automation & Efficiency: Exploring and implementing AI and other technologies to automate processes and improve operational efficiency within products and for users.

Company Website: https://www.thomsonreuters.com/

📝 Enhancement Note: Thomson Reuters' focus on "trusted content and technology" for professional services, coupled with its significant investment in AI, positions this role at the forefront of innovation in a domain-heavy industry. The company's global presence and commitment to inclusion are key cultural aspects.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Designer role, signifying a position of expertise and leadership within the design function. Senior designers are expected to independently drive complex projects, mentor junior designers, influence product strategy, and contribute to the evolution of design practices within the organization. The focus on AI means this role is at the cutting edge of UX, offering significant growth potential in a high-demand specialization.

Reporting Structure: The Sr. UX Designer will likely report to a Design Manager or Director of UX. They will work in close collaboration with Product Managers, Engineering Leads, and Data Scientists on specific product initiatives. This structure allows for both strategic guidance and hands-on contribution.

Operations Impact: The Sr. UX Designer will have a direct impact on the usability, trustworthiness, and adoption of AI-powered features across Thomson Reuters' product ecosystem. By translating complex AI capabilities into intuitive experiences, they will enhance user productivity, decision-making, and overall satisfaction, contributing directly to the company's mission of providing trusted information and solutions. The role's focus on AI also positions it to influence the future direction of Thomson Reuters' technological offerings.

Growth Opportunities:

• AI Design Specialization: Deepen expertise in AI/LLM interaction design, becoming a go-to specialist within Thomson Reuters and the broader industry.

• Leadership and Mentorship: Progress into a Lead UX Designer role, managing design initiatives, mentoring junior team members, and shaping design strategy for AI products.

• Cross-Disciplinary Advancement: Transition into Product Management, Design Strategy, or even roles within Data Science or AI Product Development, leveraging a strong understanding of user needs and AI capabilities.

• Continuous Learning: Utilize company resources like "Grow My Way" programming, tuition reimbursement, and potentially industry conferences to stay abreast of emerging AI and UX trends.

📝 Enhancement Note: The "Grow My Way" programming and emphasis on an "AI-enabled future" suggest a strong organizational commitment to employee development, particularly in emerging technologies, making this a fertile ground for career progression.

🌐 Work Environment

Office Type: Thomson Reuters offers a hybrid work model, indicating a blend of in-office and remote work. For this role, it means 2-3 days per week in the office, fostering collaboration and team connection, while also allowing for remote flexibility.

Office Location(s): The primary location is Toronto, Ontario, Canada. Thomson Reuters has a global presence, but this specific role is tied to their Toronto office.

Workspace Context:

• Collaborative Environment: The hybrid model is designed to facilitate seamless digital and physical connections, encouraging collaboration with colleagues both in the office and remotely.

• Operations Tools & Technology: Designers will have access to industry-standard design tools (Figma), AI prototyping environments, and potentially specialized tools for model evaluation and prompt management, supported by robust IT infrastructure.

• Team Interaction: Opportunities for regular interaction with design peers, product teams, data scientists, and researchers, fostering a dynamic and knowledge-sharing environment.

Work Schedule: While standard full-time hours (approx. 40/week) are expected, the "Flex My Way" policy offers significant flexibility, including up to 8 weeks of "work from anywhere" per year, supporting personal needs and work-life balance.

📝 Enhancement Note: The hybrid model and "Flex My Way" policy suggest a progressive and employee-centric work environment, balancing the need for in-person collaboration with the benefits of remote flexibility, which is highly valued by design professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a recruiter screen to assess basic qualifications and cultural fit.

• Hiring Manager Interview: Discussion focused on experience, role alignment, and understanding of AI/UX challenges.

• Portfolio Review & Design Challenge: A critical stage where candidates present their portfolio, highlighting relevant case studies, particularly those involving AI/LLM design. A practical design challenge or whiteboard exercise may be included to assess problem-solving skills and design thinking in real-time.

• Team/Cross-functional Interviews: Meetings with potential peers (other designers, researchers) and cross-functional partners (Product Managers, Data Scientists, Engineers) to evaluate collaboration style and technical understanding.

• Final Interview: May involve senior leadership to discuss strategic impact and long-term vision.

Portfolio Review Tips:

• Curate AI-Specific Examples: Prioritize case studies that demonstrate your experience with AI/LLM technologies, prompt design, generative UX, and handling model limitations.

• Structure for Clarity: For each case study, clearly outline the problem, your role, the process you followed (research, ideation, prototyping, testing), the design solutions, and the measurable outcomes or impact.

• Highlight Systems Thinking: Showcase how you approach designing complex, multi-layered systems involving UI, data, and AI model constraints.

• Demonstrate Responsible AI: Articulate how you incorporated principles of transparency, fairness, and user empowerment into your designs.

• Showcase Prototyping Skills: Include examples of prototypes, explicitly mentioning any work done with AI models or AI-specific tools.

• Prepare for Interaction/Prompt Design: Be ready to discuss your approach to designing effective prompts and managing AI-generated outputs.

Challenge Preparation:

• Understand AI Context: Familiarize yourself with common AI/LLM use cases, potential pitfalls (hallucinations, bias), and emerging design patterns for AI interactions.

• Practice Problem-Solving: Be prepared to tackle hypothetical design problems related to AI, focusing on identifying user needs, constraints, and potential solutions.

• Articulate Design Rationale: Clearly explain the "why" behind your design decisions, linking them back to user needs, business goals, and responsible AI principles.

• Embrace Ambiguity: Show comfort in navigating situations with incomplete information, a common aspect of AI development.

📝 Enhancement Note: The portfolio review is paramount. Candidates should be prepared to deeply discuss their AI design process, challenges encountered, and how they leveraged user research and prototyping to validate their solutions in the context of AI.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for wireframing, prototyping, and high-fidelity UI design.

• AI/LLM Prototyping Tools: Proficiency in tools like Python notebooks (e.g., Jupyter), model sandboxes, or no-code AI orchestration platforms for testing and iterating with AI models.

• Prototyping Software: Beyond Figma, other tools like InVision, Adobe XD, or Sketch might be relevant depending on team standards.

Analytics & Reporting:

• Product Analytics Tools: Familiarity with tools like Google Analytics, Amplitude, Mixpanel, or custom internal dashboards to understand user behavior with AI features.

• AI Evaluation Metrics: Understanding and potentially using tools or frameworks for evaluating AI performance, including prompt/response quality, hallucination rates, and trust signals.

CRM & Automation:

• While not a direct focus for a UX Designer, understanding how CRM systems (e.g., Salesforce) and automation tools integrate with product experiences can be beneficial for context.

• Collaboration & Project Management Tools: Tools like Jira, Confluence, Asana, or Trello for managing design tasks and collaborating with engineering teams.

📝 Enhancement Note: The explicit mention of "Python notebooks, model sandboxes, or no-code AI orchestration tools" for prototyping with AI models is a key technical requirement that distinguishes this role.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A core value at Thomson Reuters, meaning a deep understanding of user needs, especially in complex professional domains, and a drive to deliver solutions that truly solve their problems.

• Compete to Win: A drive for excellence and innovation, pushing boundaries to create market-leading products, particularly in the competitive AI space.

• Challenge (Y)our Thinking: An open mindset, willingness to question assumptions, and embrace new ideas and technologies like AI.

• Act Fast / Learn Fast: Agility in development and design, embracing experimentation, rapid iteration, and continuous learning, especially crucial in the fast-paced AI landscape.

• Stronger Together: Emphasis on collaboration, inclusivity, and leveraging diverse perspectives to achieve collective success.

Collaboration Style:

• Cross-functional Integration: Designers are expected to work seamlessly with Product Management, Engineering, Data Science, and Research teams, fostering a highly collaborative and integrated product development process.

• Process Review & Feedback: A culture that encourages open feedback and iterative refinement of designs and processes, especially important for complex AI systems.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings, particularly around AI design patterns and responsible AI principles.

📝 Enhancement Note: The company values are directly tied to innovation, customer focus, and agile learning, which are highly relevant to a role at the cutting edge of AI design.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Ambiguity: Navigating the inherent uncertainty and probabilistic nature of AI models to create predictable and trustworthy user experiences.

• Ensuring Responsible AI: Championing ethical AI design principles (fairness, transparency, accountability) in a rapidly evolving technological landscape with potential biases.

• Translating Complex Domains: Effectively simplifying highly specialized and complex professional domains (legal, tax, etc.) into user-friendly AI-powered interfaces.

• Rapid Technological Evolution: Keeping pace with the fast-changing advancements in AI and LLMs and integrating them effectively into product roadmaps.

Learning & Development Opportunities:

• AI Design Specialization: Access to internal expertise, training, and projects focused on the nuances of AI and LLM interaction design.

• Industry Conferences & Certifications: Opportunities to attend leading UX and AI conferences, and pursue relevant certifications to enhance skills and knowledge.

• Mentorship Programs: Guidance from senior design leaders and cross-functional experts within Thomson Reuters to foster career growth and leadership capabilities.

• "Grow My Way" Programming: Company-supported initiatives designed to facilitate continuous learning, skill development, and career pathing.

📝 Enhancement Note: The primary challenge lies in bridging the gap between AI capabilities and user needs in complex professional contexts, requiring a blend of technical understanding, design acumen, and ethical consideration.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI feature you designed. What were the primary challenges related to model behavior, and how did you address them through your design?" (Focus on process, problem-solving, and AI-specific considerations).

• "How do you approach designing for trust and transparency when users interact with AI systems, especially in sensitive professional domains?" (Assess understanding of responsible AI and user psychology).

Company & Culture Questions:

• "What interests you about designing AI experiences specifically for Thomson Reuters' professional clients?" (Gauge understanding of the company's mission and user base).

• "How do you prioritize user needs versus technical feasibility when working with cutting-edge technologies like AI?" (Assess decision-making and balance).

Portfolio Presentation Strategy:

• Start with Impact: Begin by highlighting the most relevant AI/LLM case studies that showcase your end-to-end design process and problem-solving skills.

• Detail Your Process: For each case study, clearly articulate the problem, your specific role, research methodologies, design decisions (especially those related to AI), prototyping efforts, and the outcomes achieved.

• Emphasize AI Nuances: Be prepared to discuss your understanding of AI models, prompt design, handling hallucinations, and ensuring responsible AI principles were integrated into your work.

• Quantify Results: Whenever possible, use data and metrics to demonstrate the impact of your designs on user behavior, trust, or product adoption.

• Engage and Discuss: Treat the presentation as a conversation, inviting questions and demonstrating your ability to articulate your rationale and adapt your thinking.

📝 Enhancement Note: Expect interview questions that probe deeply into your understanding of AI's unique design challenges, your ability to prototype and test with AI models, and your commitment to responsible AI practices.

📌 Application Steps

To apply for this Sr. UX Designer position:

• Submit your application through the Thomson Reuters careers portal via the provided URL.

• Curate Your Portfolio: Select 2-3 of your strongest case studies, prioritizing those that demonstrate experience with AI/LLM technologies, complex workflows, and end-to-end design ownership. Ensure AI-specific challenges and solutions are clearly highlighted.

• Optimize Your Resume: Tailor your resume to emphasize keywords such as "UX Design," "AI," "LLM," "Generative UX," "Prompt Design," "User Research," "Prototyping," and "Systems Thinking." Quantify achievements where possible.

• Prepare Your Presentation: Practice presenting your portfolio case studies, focusing on clear communication, articulating your design process, and confidently discussing your approach to AI design challenges and responsible AI principles.

• Research Thomson Reuters: Understand the company's mission, its key professional domains (legal, tax, etc.), and its commitment to AI. Consider how your design philosophy aligns with their values, such as customer obsession and challenging thinking.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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