Sr. UX Designer

📍 Job Overview

Job Title: Sr. UX Designer

Company: Thomson Reuters

Location: Toronto, Ontario, Canada

Job Type: FULL_TIME

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

Date Posted: 2026-06-25

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems, with a strong emphasis on user trust and product adoption.

• Translate complex AI model behaviors, data inputs, and system limitations into coherent and intuitive UX patterns, ensuring a balance between innovation and responsible AI practices.

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

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

📝 Enhancement Note: This role is specifically focused on the cutting edge of AI integration into product design. The emphasis on "agentic workflows," "generative interactions," and "human-in-the-loop systems" indicates a need for designers who can conceptualize and execute complex AI-driven user journeys, not just static interfaces. The requirement to "prototype with real AI/LLM models" suggests a hands-on approach to understanding AI capabilities and limitations in real-time.

📈 Primary Responsibilities

• Lead the end-to-end design of AI-powered features, including agentic workflows, generative interactions, and human-in-the-loop systems.

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

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

• Map and design collaboration patterns between users and AI—defining when AI acts autonomously, when humans take control, and how handoffs occur.

• Create clear interaction flows that incorporate transparency moments, safety guardrails, override options, and recovery states to build user confidence.

• Partner closely with data science and engineering to shape model requirements, evaluate performance constraints, and align system behaviors with user needs.

• Collaborate with UX Research to conduct usability testing and AI-specific validation studies to 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 internal design standards for AI patterns, prompt design guidelines, evaluation criteria, and UX quality benchmarks.

• Collaborate with product and research teams to identify new opportunities where AI can meaningfully improve user outcomes.

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

• Leverage AI tooling and internal content standards to deliver clear, concise, brand-aligned product experiences.

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

📝 Enhancement Note: The responsibilities highlight a deep dive into the nuances of AI interaction design. The emphasis on "transparency moments," "safety guardrails," and "recovery states" is critical for building user trust in AI systems. The expectation to "partner with data science and engineering" and "shape model requirements" indicates a highly collaborative role that influences AI development from a user-centric perspective, going beyond traditional UX design.

🎓 Skills & Qualifications

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

Experience: 6+ years of professional product design experience with a strong portfolio demonstrating end-to-end ownership of complex workflows.

Required Skills:

• 6+ years of professional product design experience with a strong portfolio demonstrating end-to-end ownership of complex workflows.

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

• Strong interaction design skills with the 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.

• Ability to prototype 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.

• Experience collaborating 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—able to influence decisions and articulate the “why” behind design choices.

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

• A growth mindset, comfort navigating ambiguity, and an enthusiasm for experimenting with emerging technologies. Preferred Skills:

• Ability to design intuitive search, drafting, and review workflows, especially 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 like 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 experience requirement of "6+ years" combined with the focus on AI and complex workflows positions this as a senior-level role. The emphasis on "prototyping with real AI/LLM models" and "hands-on user research" for AI features indicates a need for practical, applied experience rather than purely theoretical knowledge. The "preferred skills" suggest a strong advantage for candidates with experience in specific domains relevant to Thomson Reuters' business.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 3-5 complex projects demonstrating end-to-end ownership of the design process, from initial research and conceptualization to final execution and iteration.

• Highlight projects specifically involving AI/LLM technologies, generative UX, or human-in-the-loop systems. Clearly articulate the AI's role, the challenges it presented, and how you designed for its unique behaviors.

• Include case studies that detail your user research methodologies, particularly for AI-specific validation (e.g., prompt/response quality, trust metrics, hallucination risk assessment).

• Demonstrate your ability to design for AI limitations and complexities, such as transparency, safety, override options, and recovery states.

• Showcase your prototyping skills, ideally including examples of interactive prototypes that simulate AI interactions or were built using tools like Figma, Python notebooks, or model sandboxes. Process Documentation:

• Detail your approach to translating ambiguous AI behaviors and system constraints into clear, user-centered interaction flows and patterns.

• Provide examples of how you have collaborated with data science and engineering teams to inform model requirements and align system behaviors with user needs.

• Illustrate your process for creating and contributing to internal design standards for AI patterns, prompt design guidelines, and evaluation criteria.

• Show how you incorporate accessibility standards (WCAG 2.1 AA) into your AI-driven designs, including the use of AI checks and expert reviews.

📝 Enhancement Note: The portfolio is critical for this role, especially given the novel nature of AI product design. Candidates must be able to visually and narratively demonstrate their understanding of AI principles and their ability to apply them to user-centered design challenges. Specific examples of AI interaction patterns, prompt design, and research into AI trust are crucial.

💵 Compensation & Benefits

Salary Range:

For Ontario, Canada, the base compensation range for this role is $105,000 CAD - $155,000 CAD annually. This range is positioned based on factors such as individual knowledge, skills, experience, and internal equity.

Benefits:

• Flexible Vacation

• Two company-wide Mental Health Days off

• Access to the Headspace app for mental wellbeing

• Retirement Savings plans

• Tuition Reimbursement for professional development

• Employee Incentive Programs

• Comprehensive resources for mental, physical, and financial wellbeing

• Two paid volunteer days off annually

Working Hours: The standard working hours are 40 hours per week. The company promotes flexibility and work-life balance through initiatives like "Flex My Way," including up to 8 weeks of "work from anywhere" per year, and a hybrid model for office-based roles (2-3 days a week in the office).

📝 Enhancement Note: The provided salary range ($105,000 - $155,000 CAD) is competitive for a Senior UX Designer role in Toronto, particularly given the specialized AI focus. The benefits package is robust, emphasizing work-life balance, professional development, and employee wellbeing, which are attractive to experienced professionals. The hybrid work model and "work from anywhere" policy offer significant flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, Technology, Media, and Financial Services, with a strong focus on legal, tax, accounting, compliance, government, and journalism sectors. Thomson Reuters is a leader in providing professionals with trusted content and technology solutions.

Company Size: Thomson Reuters is a large, global organization with approximately 26,000 employees across more than 70 countries. This size offers opportunities for diverse career paths and exposure to a wide range of projects and markets.

Founded: Thomson Reuters was formed in 2007 through the acquisition of Reuters by The Thomson Corporation. Its history is rooted in providing reliable information and news, with a long-standing commitment to accuracy, fairness, and transparency.

Team Structure:

• The UX Design team is part of a larger product development organization that includes Product Management, Product Engineering, Data Science, UX Research, Content Design, and Accessibility specialists.

• This role will operate within high-velocity, cross-functional teams, requiring close collaboration with various disciplines.

• The reporting structure likely involves a Design Lead or Manager, with direct collaboration across product and engineering leadership. Methodology:

• Data-driven decision-making is emphasized, leveraging both qualitative and quantitative data for product development and evaluation.

• A focus on iterative design and rapid experimentation, particularly for new AI features, is expected ("accelerate product-market fit").

• Collaboration is key, with a culture of shared learning and cross-functional integration.

• Commitment to responsible AI principles is integrated into the design and development process.

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

📝 Enhancement Note: Thomson Reuters' position as a global leader in information services, particularly in professional sectors, means the UX team will be designing for complex, high-stakes environments. The company's commitment to "justice, truth, and transparency" suggests a mission-driven culture where design plays a critical role in delivering reliable and impactful solutions. The emphasis on AI signifies a forward-looking approach to technology integration.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior UX Designer role, indicating a high level of individual contribution and expertise. Senior designers are expected to lead complex projects, mentor junior team members, and influence product strategy and design direction. The focus on AI adds a specialized and in-demand skill set.

Reporting Structure: The role will likely report to a Design Manager or Director, with significant collaboration and influence on Product Management, Engineering, and Data Science teams. This structure allows for direct impact on product roadmaps and development.

Operations Impact: The work directly influences how professionals across legal, tax, and other sectors interact with AI, aiming to improve their efficiency, accuracy, and decision-making capabilities. By designing trustworthy and intuitive AI experiences, this role contributes to Thomson Reuters' mission of providing essential information and upholding the rule of law.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in AI/LLM interaction design, generative UX, and responsible AI principles. Opportunity to become a subject matter expert in a rapidly evolving field.

• Leadership Development: Potential to lead design initiatives, mentor junior designers, and influence design strategy and standards within the organization.

• Cross-Functional Impact: Gain exposure to various business domains (legal, tax, etc.) and work closely with diverse teams, fostering a broad understanding of the company's offerings and client needs.

• Product Innovation: Contribute to "zero-to-one" products and shape the future of AI-powered professional tools.

📝 Enhancement Note: This role offers a unique opportunity for career growth at the intersection of UX design and advanced AI. The seniority implies a path towards design leadership or specialized AI design roles. The domain expertise gained in legal, tax, and financial sectors can also open doors to specialized product roles within Thomson Reuters.

🌐 Work Environment

Office Type: Thomson Reuters has adopted a flexible hybrid working environment. For office-based roles, this typically means spending 2-3 days per week in the office. This model aims to balance in-person collaboration with remote flexibility.

Office Location(s): The primary role is based in Toronto, Ontario, Canada. Thomson Reuters has a global presence, but for this specific position, the requirement is to be located in or near Toronto to facilitate hybrid work.

Workspace Context:

• The workspace is designed to be digitally and physically connected, supporting seamless collaboration regardless of location.

• Expect a dynamic environment with active cross-functional team interaction, fostering a culture of shared problem-solving.

• Access to modern design tools and technologies, including AI sandboxes and prototyping platforms, will be available to support the design process.

• The hybrid model allows for focused individual work at home and collaborative sessions or team meetings in the office.

Work Schedule: The standard work schedule is 40 hours per week. However, the company emphasizes flexibility and work-life balance through its "Flex My Way" policies and "work from anywhere" options (up to 8 weeks per year), allowing employees to manage personal and professional responsibilities effectively.

📝 Enhancement Note: The hybrid model and "Flex My Way" policies are significant aspects of the work environment, offering considerable autonomy and flexibility. This suggests a trust-based culture that values output and collaboration over strict adherence to traditional office hours, which is beneficial for roles requiring deep focus and creative problem-solving.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume. A strong portfolio is key here.

• Portfolio Presentation & Design Challenge: You will likely present your portfolio, focusing on relevant AI design projects. A design challenge or case study, potentially involving an AI-related problem, may be assigned to assess your problem-solving skills, design process, and ability to articulate design decisions.

• Team Interviews: Interviews with product managers, engineers, data scientists, and other designers to assess collaboration skills, technical understanding, and cultural fit. Questions will likely focus on your experience with AI, your design methodology, and how you handle ambiguity.

• Final Interview: A discussion with senior leadership to evaluate your strategic thinking, leadership potential, and alignment with Thomson Reuters' values.

Portfolio Review Tips:

• Prioritize AI Projects: Showcase 2-3 of your strongest projects that specifically involve AI, LLMs, generative design, or human-in-the-loop systems. Clearly articulate the problem, your role, the AI's contribution, the challenges you faced, your design process, and the outcomes.

• Demonstrate Process: For each project, detail your research methods, ideation, prototyping, testing (especially AI-specific validation), and iteration. Focus on how you handled ambiguity and complex AI behaviors.

• Highlight Collaboration: Explain how you worked with data scientists, engineers, and product managers. Showcase your ability to influence and translate technical constraints into user-centric solutions.

• Quantify Impact: Where possible, use metrics to demonstrate the success of your designs, especially regarding improved user trust, efficiency, or adoption of AI features.

• Responsible AI Focus: Explicitly address how you considered ethical implications, transparency, fairness, and user empowerment in your AI designs.

Challenge Preparation:

• AI Use Cases: Familiarize yourself with common and emerging AI applications in professional services (legal, tax, etc.). Think about potential user pain points and how AI could solve them.

• Prompt Design Principles: Understand how to craft effective prompts and design interfaces that guide users in creating good prompts.

• AI Limitations: Be prepared to discuss how you would design around AI limitations like hallucinations, bias, or lack of context.

• Systems Thinking: Practice articulating how different components of an AI system (UI, model, data, user) interact and how to design holistically.

📝 Enhancement Note: The interview process will heavily scrutinize your practical experience with AI design. Be ready to deep-dive into your portfolio projects, explaining the technical and user-centric challenges specific to AI. The design challenge will likely test your ability to think critically about AI systems and propose innovative, user-focused solutions.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Figma (highly likely), Sketch, Adobe Creative Suite.

• AI/LLM Prototyping: Python notebooks, model sandboxes, no-code AI orchestration tools (specifics will vary, but proficiency in at least one is key).

• Collaboration: Jira, Confluence, Slack, Microsoft Teams.

Analytics & Reporting:

• Familiarity with analytics platforms (e.g., Google Analytics, Adobe Analytics) for understanding user behavior and feature adoption.

• Experience interpreting data from model evaluation tools and dashboards to inform design decisions.

CRM & Automation: While not directly a CRM role, understanding how design impacts user journeys within broader customer platforms is beneficial. Familiarity with workflow automation concepts is also relevant for designing AI-driven processes.

📝 Enhancement Note: Proficiency in Figma is almost a given for modern UX roles. The critical differentiator here is experience or a strong willingness to learn and prototype with AI/LLM tools. This could range from using specialized AI design platforms to scripting basic interactions in Python or leveraging no-code AI builders.

👥 Team Culture & Values

Operations Values:

• Obsess over our Customers: A deep understanding of user needs, particularly within professional domains, is paramount. Designs must deliver tangible value and solve real-world problems.

• Compete to Win: Strive for excellence in design and product innovation, pushing boundaries, especially in the AI space, to maintain a competitive edge.

• Challenge (Y)our Thinking: Embrace new technologies and methodologies, questioning existing approaches to find better solutions, particularly in the evolving landscape of AI.

• Act Fast / Learn Fast: Be agile and iterative in the design process, experimenting with AI, learning from results, and adapting quickly to new insights.

• Stronger Together: Collaborate effectively across diverse teams (product, engineering, data science, research) to achieve shared goals and build cohesive, impactful products.

Collaboration Style:

• Highly collaborative, working closely with product managers, engineers, data scientists, and researchers in cross-functional teams.

• Emphasis on open communication, sharing design rationale, and actively seeking and incorporating feedback.

• A culture that encourages experimentation and learning, particularly regarding new AI technologies and their applications.

• Strong partnership with UX Research to validate designs and understand user interactions with AI.

📝 Enhancement Note: The company's stated values provide a strong framework for understanding the expected behavior and mindset. For this role, "Challenge (Y)our Thinking" and "Act Fast / Learn Fast" are particularly relevant given the rapid evolution of AI. Demonstrating how your design approach aligns with these values will be crucial.

⚡ 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.

• Balancing Innovation with Responsibility: Ensuring AI features are not only powerful but also ethical, transparent, fair, and user-empowering, meeting responsible AI principles.

• Rapidly Evolving Technology: Staying abreast of the fast-paced advancements in AI and LLMs and translating these into practical design solutions.

• User Trust in AI: Building and maintaining user confidence in AI systems, especially in high-stakes professional contexts where accuracy and reliability are critical.

Learning & Development Opportunities:

• AI Design Specialization: Become a leader in designing AI-powered experiences, a highly sought-after skill.

• Domain Expertise: Deepen knowledge in critical professional sectors like legal, tax, and compliance, understanding complex workflows and user needs.

• Cross-Disciplinary Learning: Work closely with data scientists and AI engineers, gaining insights into model development and capabilities.

• Leadership and Mentorship: Opportunities to lead design efforts, mentor junior designers, and contribute to shaping the UX team's overall strategy.

📝 Enhancement Note: The challenges presented are inherent to cutting-edge AI design. Candidates should be prepared to discuss how they approach these challenges, showcasing resilience, adaptability, and a proactive learning mindset. The growth opportunities are substantial, offering a chance to build a unique and valuable career path.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI-powered workflow you've designed. What were the key challenges related to the AI's behavior, and how did you address them to ensure user trust and adoption?"

• "How do you approach designing for transparency and control in AI systems? Provide an example of how you've incorporated these elements into a design."

• "Imagine we want to use AI to assist users in drafting complex legal documents. What are the primary user needs and potential AI pitfalls you would consider, and how would you prototype and test initial concepts?"

• "Discuss your experience collaborating with data scientists or AI engineers. How do you translate user requirements into model specifications, and how do you incorporate model limitations into your design process?" Company & Culture Questions:

• "How do Thomson Reuters' values (e.g., Obsess over Customers, Challenge Your Thinking) align with your approach to designing AI products?"

• "Given Thomson Reuters' focus on trust and transparency, how would you ensure AI-generated content or actions meet these standards?"

• "Describe a time you had to navigate ambiguity in a design project. How did you approach it, and what was the outcome?" Portfolio Presentation Strategy:

• Tell a Story: For each AI project, frame it as a narrative: the problem, your approach, the AI's role, the challenges, your solutions, and the impact.

• Focus on the "Why": Clearly articulate why you made specific design decisions, especially concerning AI interactions, prompt design, or handling model outputs.

• Show, Don't Just Tell: Use visuals, prototypes, and mockups effectively. Walk through interactive elements where possible.

• Quantify Results: Present metrics or qualitative feedback that demonstrate the impact of your designs. If direct metrics are unavailable, explain how you would measure success.

• Discuss Limitations & Future Iterations: Be prepared to talk about what you learned, what you would do differently, and potential future enhancements.

📝 Enhancement Note: Prepare specific, STAR-method (Situation, Task, Action, Result) examples for your answers. For AI-related questions, be ready to discuss technical concepts at a high level and how they translate into user experience. Your portfolio presentation should be interactive and focused on demonstrating your thought process, not just the final output.

📌 Application Steps

To apply for this Sr. UX Designer position:

• Submit your application through the Thomson Reuters career portal linked in this job posting.

• Tailor your Resume: Highlight your 6+ years of UX design experience, specifically emphasizing any work with AI, LLMs, generative design, or complex systems. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your experience with AI/LLM design, end-to-end process ownership, and user research. Ensure clear case studies detailing your process, challenges, solutions, and outcomes.

• Prepare Your Presentation: Practice walking through your portfolio projects, focusing on your AI design contributions, problem-solving approach, and collaboration skills. Be ready to discuss responsible AI principles.

• Research Thomson Reuters: Understand their mission, values, and the industries they serve (legal, tax, etc.). Consider how AI can specifically benefit professionals in these domains.

⚠️ 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.