Senior UX Designer, Agent Design

📍 Job Overview

Job Title: Senior UX Designer, Agent Design

Company: Workday

Location: Boulder, Colorado, United States

Job Type: Full-Time

Category: UX Design / Product Design

Date Posted: April 20, 2026

Experience Level: Mid-Senior (5-10 years)

Remote Status: Hybrid (Minimum 50% time in office per quarter)

🚀 Role Summary

• Design and lead the strategic vision for AI-powered self-service agent experiences, impacting millions of global users.

• Define and implement conversational UX standards, interaction patterns, and transparency models for intelligent agents across web, mobile, and third-party integrations.

• Collaborate with cross-functional teams, including Product Management, Engineering, UX Research, and Design Systems, to deliver cohesive and intuitive agentic experiences.

• Drive innovation in conversational AI design, focusing on natural language understanding, multi-turn dialogues, error handling, and user trust.

• Contribute to the evolution of AI Elements Guidelines and core A2UI patterns, ensuring scalable and consistent implementation across Workday's platform.

📝 Enhancement Note: While the raw job title is "Senior UX Designer, Agent Design," the detailed description strongly indicates a focus on AI-driven conversational interfaces and agent experiences, aligning with roles in Revenue Operations or GTM Operations where customer-facing AI assistants are becoming increasingly crucial for self-service and engagement. The emphasis on "self-service," "agent factory," and "connected experiences" suggests a significant impact on how customers interact with Workday's platform for information retrieval and task completion, which directly influences GTM efficiency and customer satisfaction.

📈 Primary Responsibilities

• Lead the design and development of self-service agent experiences for millions of Workday users globally, ensuring scalability and effectiveness.

• Define and document conversational UX standards for agent responses, covering formatting, length, clarity, tone, and data summarization to enhance user comprehension.

• Design natural, task-oriented multi-turn interaction flows that empower users to confidently achieve their self-service goals through intelligent agents.

• Implement platform transparency patterns (e.g., loading states, progress indicators) to ensure users are always informed about the agent's actions and current status.

• Develop and refine soft refusal, fallback, and error handling mechanisms to guide users effectively when the agent encounters limitations or safety constraints.

• Contribute to the ongoing development and refinement of AI Elements Guidelines, working closely with engineering teams to ensure accurate implementation within code.

• Partner with Design Systems teams to define, document, and socialize new agent patterns and reusable best practices across the Workday ecosystem.

• Apply and extend core A2UI (AI-to-User Interface) patterns, identifying opportunities for library expansion to support emerging agent experiences.

• Create and maintain comprehensive design guidance documentation for conversational UX, agent response standards, and cross-surface interaction patterns.

• Collaborate with the Accessibility team to ensure all agent outputs are inclusive, compliant with WCAG standards, and accessible to all users.

• Validate agent experiences across various platforms including Web, Mobile, Slack, Microsoft Teams, and Workday Everywhere integrations to ensure consistency and optimal performance.

• Partner with UX Research to conduct tone of voice testing, user validation studies, and assess release readiness for agent features.

• Attend Early Adopter customer calls to gather direct feedback and synthesize insights into actionable design improvements.

• Track and communicate design-impacting bugs, providing UX health reports to VP and Senior Director level stakeholders.

• Collaborate with Product Management to define and refine Critical User Journeys, ensuring agent experiences align with key user workflows.

• Partner with platform and orchestration teams on agent integration points, handoff logic, and end-to-end flow continuity to ensure seamless user experiences.

• Maintain a high UX quality bar through rigorous heuristic evaluations of Large Language Model (LLM) outputs and agent interactions.

• Contribute to Go/No-Go production readiness decisions, acting as the advocate for the user experience and overall quality.

• Visualize the end-to-end user experience, identifying core jobs-to-be-done that can expand the agent's tools, capabilities, and skills.

📝 Enhancement Note: The responsibilities clearly point to a role that bridges UX design with AI capabilities, directly impacting customer self-service and potentially influencing sales enablement through efficient information access. This requires a deep understanding of user journeys, conversational AI, and cross-platform integration, skills highly valued in advanced GTM operations roles.

🎓 Skills & Qualifications

Education:

Experience:

• 7+ years of industry experience in product, UX, interaction, conversational, or content design.

• 2+ years of experience building AI products or designing for AI-powered experiences.

• Proven experience designing conversational, assistant, or agent-based user experiences.

• Experience designing natural, task-oriented multi-turn flows, including robust fallback, repair, and recovery patterns.

• Experience defining end-to-end journeys for complex self-service or enterprise workflows.

Required Skills:

• Conversational Design: Expertise in crafting natural, engaging, and task-oriented multi-turn dialogues, including error handling and recovery strategies.

• Interaction Design: Strong ability to design intuitive and efficient user interactions, particularly within complex enterprise software environments.

• Figma Proficiency: Advanced skills in Figma for design, prototyping, and collaboration, essential for creating detailed interface designs and user flows.

• Design Systems: Deep understanding and experience working with and contributing to Design Systems, including A2UI patterns and reusable components.

• AI Product Design: Experience designing for AI-powered features, understanding the unique challenges and opportunities of agentic systems and LLM interactions.

• Cross-functional Collaboration: Proven ability to work effectively with Product Managers, Engineers, Researchers, and other stakeholders to achieve shared goals.

Preferred Skills:

• Content Design/UX Writing: Background in content strategy, UX writing, or voice design, with experience in prompt engineering and refining agent responses.

• Information Architecture: Expertise in organizing and structuring information to enhance user navigation and understanding within complex applications.

• Prototyping Tools: Proficiency with modern design and prototyping tools, including experience using AI tooling (e.g., Lovable, Cursor) for generative AI prototypes.

• Accessibility Expertise: Strong understanding of accessibility principles (WCAG) and experience ensuring inclusive design for all users.

• Enterprise Software Domain: Familiarity with enterprise software environments and the nuances of designing for business workflows.

• Data-Driven Decision Making: Ability to leverage user research, usability data, and customer feedback to inform design decisions and define quality standards.

• Visual Design & Systems Thinking: Ability to visualize complex end-to-end user journeys and identify system-level improvements.

📝 Enhancement Note: The required experience level and the specific mention of AI tooling and generative AI prototypes suggest this role is highly specialized. For operations professionals, this translates to understanding how AI agents can streamline internal processes, support sales teams with real-time information, or enhance customer support efficiency, requiring a blend of technical aptitude and user-centric design thinking.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate Systems Thinking: Showcase how you approach complex problems by designing interconnected components and scalable solutions, particularly within AI agent interactions.

• Conversational Design Case Studies: Include detailed examples of designing multi-turn conversational flows, highlighting user goals, interaction logic, error handling, and outcomes.

• AI Product Design Examples: Present work on AI-powered features or agentic systems, illustrating your understanding of AI capabilities, limitations, and user trust considerations.

• Design System Contribution: Provide examples of how you've contributed to or utilized design systems, showing your ability to create scalable, consistent patterns.

• Process Documentation: Illustrate your design process, including research, ideation, prototyping, user testing, and iteration, with a focus on how you document and communicate your work.

Process Documentation:

• Workflow Design & Optimization: Document how you map out user journeys and design agent interactions to optimize workflows for efficiency and user satisfaction.

• Implementation & Automation: Show how your designs translate into functional AI agents, detailing collaboration with engineering on implementation and the use of AI tooling for prototyping.

• Measurement & Performance Analysis: Include examples of how you define and measure the success of agent experiences, potentially through metrics related to task completion, user satisfaction, or efficiency gains.

📝 Enhancement Note: For a role focused on AI agents and conversational UX, a portfolio must clearly articulate the candidate's ability to design for dynamic, interactive systems. This goes beyond static UI design to demonstrating an understanding of dialogue flow, state management, and user expectation management within AI interactions. Operations candidates should highlight projects where they improved process efficiency or user experience through data-driven design and system integration.

💵 Compensation & Benefits

Salary Range:

• Primary Location (Boulder, CO): $148,600 - $223,000 USD per year.

• Additional US Locations: $141,200 - $250,800 USD per year.

• Note: Actual compensation will be determined by various factors including geographic location, experience, skills, job duties, and business needs.

Benefits:

• Comprehensive Health Coverage: Access to Workday's robust benefits package.

• Financial Well-being: Eligible for the Workday Bonus Plan and annual refresh stock grants.

• Work-Life Balance: Flexible scheduling and generous parental leave policies.

• Professional Development: Opportunities for continuous learning, mentoring, and coaching.

• Retirement Savings: [Specific details on retirement plans like 401(k) matching would be typical here, but not explicitly listed in the provided text.]

Working Hours:

• Standard full-time hours (typically 40 hours per week).

• Flexible Scheduling: Employees have the freedom to create flexible schedules that cater to business, team, and personal needs, while ensuring at least 50% of their time each quarter is spent in the office or with customers/partners.

📝 Enhancement Note: The salary range is competitive for a senior UX role in a high-cost-of-living area like Boulder, CO. The inclusion of bonus plans, stock grants, and flexible scheduling underscores Workday's commitment to comprehensive employee compensation and well-being, which is attractive to operations professionals seeking stability and growth. The "Flex Work" policy emphasizes intentional in-office collaboration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, Cloud Computing, AI Platforms (Human Capital Management, Financial Management)

Company Size: Large Enterprise (Workday is a Fortune 500 company, indicating thousands of employees globally).

Founded: 2005. Workday has a history of innovation in cloud-based enterprise software, focusing on AI and machine learning to enhance its platform.

Team Structure:

• Connected Experiences Design Team: This team is dedicated to shaping AI agent experiences for horizontal self-service across Workday's platform.

• Agent Factory & Connected Experiences Collaboration: The role involves working closely with both the Agent Factory (likely focusing on the underlying AI technology/orchestration) and the broader Connected Experiences teams.

• Cross-functional Integration: The designer will collaborate extensively with Product Management, Engineering, UX Research, Accessibility, Technical Writing, and Design Systems, indicating a highly integrated product development process.

Methodology:

• Customer-First Organization: A core principle emphasized in the company description, driving design and product decisions.

• Continuous Learning: Mentoring, coaching, and collaboration are integral to the team's daily experience, fostering a growth mindset.

• Data-Driven Design: Decisions are informed by research findings, customer feedback, usability data, and heuristic evaluations of AI outputs.

• Agile Development: Implied through close collaboration with engineering and product management, and the focus on iterative design and release readiness.

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

📝 Enhancement Note: Workday's culture emphasizes a blend of innovation in AI and enterprise solutions with a strong focus on employee well-being and collaborative growth. For operations professionals, this means an environment that values efficiency, data-driven insights, and cross-functional teamwork. The company's maturity as a Fortune 500 entity suggests established processes but also a dynamic approach to adopting new technologies like AI.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Designer, indicating a mid-to-senior level of expertise. In an operations context, this translates to a specialist role responsible for designing and optimizing critical customer-facing or internal support systems powered by AI. The scope includes leading significant aspects of the agent experience at scale.

Reporting Structure: The role reports to a manager within the Connected Experiences Design team, with close collaboration with Product Management and Engineering leads. The description mentions reporting UX health to VP and Senior Director level partners, indicating visibility and influence at higher organizational levels.

Operations Impact: The work directly impacts customer self-service efficiency, user satisfaction, and the adoption of AI capabilities across Workday's platform. This has downstream effects on customer retention, support costs, and potentially sales enablement by providing faster access to information and support. The design of these AI agents is critical for maintaining Workday's reputation for user-centric enterprise solutions.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in conversational design, agentic systems, and the ethical considerations of AI in enterprise software.

• Leadership in Design Strategy: Opportunity to influence the strategic direction of AI-powered self-service experiences and contribute to core design guidelines.

• Cross-functional Influence: Develop stronger collaboration and communication skills by working with diverse teams and presenting to senior leadership.

• Mentorship and Coaching: Participate in and benefit from Workday's culture of continuous learning, potentially mentoring junior designers or receiving advanced training.

• Impact on Major Product Lines: Contribute to core Workday products, gaining experience with large-scale enterprise software and its global user base.

📝 Enhancement Note: For operations candidates, this role offers a unique opportunity to blend design thinking with the strategic implementation of AI, a rapidly growing area in GTM and RevOps. The growth potential lies in becoming a subject matter expert in AI-driven user experiences within the enterprise software domain.

🌐 Work Environment

Office Type: Hybrid work environment, requiring a minimum of 50% of time spent in the office per quarter. This suggests a collaborative office setting designed for teamwork, brainstorming, and in-person interactions.

Office Location(s): Primary location is Boulder, Colorado, USA. Workday also has multiple US locations, and the "Additional US Location(s) Base Pay Range" suggests flexibility or potential for remote work within the US, provided the hybrid requirement is met.

Workspace Context:

• Collaborative Spaces: The emphasis on in-office time implies the availability of meeting rooms, project spaces, and informal areas designed for team collaboration and cross-functional discussions.

• Technology Access: As a leading tech company, expect access to modern design tools, hardware, and potentially specialized AI prototyping environments.

• Team Interaction: The hybrid model encourages intentional in-person interactions to foster stronger team bonds, knowledge sharing, and spontaneous problem-solving.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week).

• Flexibility: While a minimum office presence is required, there's significant flexibility in structuring the work week and schedule to balance team needs, project demands, and personal requirements. This allows for dedicated focus time for design work, research, and collaboration.

📝 Enhancement Note: The hybrid model with a 50% office requirement is key. This caters to those who thrive in collaborative environments but also value flexibility. For operations professionals, this balance can be ideal for deep analytical work interspersed with crucial team syncs and strategic planning sessions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of resume and portfolio by a recruiter or hiring manager.

• Portfolio Presentation & Discussion: Candidates will likely present their portfolio, focusing on relevant case studies in conversational design, AI, and complex system design. Expect in-depth questions about their process, decision-making, and impact.

• Design Exercises/Challenges: May involve a take-home assignment or a live design exercise focused on a specific conversational AI problem, assessing problem-solving skills, approach, and output quality.

• Cross-functional Interviews: Meetings with Product Management, Engineering, and potentially UX Research to assess collaboration skills, technical acumen, and alignment with team dynamics.

• Behavioral & Situational Interviews: Questions assessing experience, leadership potential, problem-solving approaches, and cultural fit.

Portfolio Review Tips:

• Highlight AI & Conversational Design: Prioritize case studies demonstrating expertise in AI-powered experiences, agent design, and multi-turn conversational flows.

• Showcase Process & Rationale: Clearly articulate your design process, from problem definition and research to ideation, iteration, and final solution. Explain why you made certain design decisions.

• Quantify Impact: Where possible, include metrics or outcomes that demonstrate the success of your designs (e.g., improved task completion rates, reduced support inquiries, increased user satisfaction).

• Demonstrate Systems Thinking: Illustrate how your designs fit into a larger system, showing an understanding of scalability, consistency, and integration with other components.

• Include Design System Work: Showcase examples of your contributions to or utilization of design systems, demonstrating your ability to create and maintain reusable patterns.

• Be Ready to Discuss Technical Constraints: Prepare to discuss how you consider technical feasibility, especially concerning LLMs and AI integration.

Challenge Preparation:

• Understand Conversational AI Principles: Review best practices for dialogue design, error handling, transparency, and user trust in AI agents.

• Practice Design Thinking: Be prepared to articulate your approach to a given design problem, breaking it down into manageable steps and justifying your solutions.

• Prepare Case Studies: Have 2-3 strong portfolio pieces ready to present in detail, covering problem, process, solution, and impact.

• Research Workday: Understand Workday's products, target audience, and its position in the enterprise software market, particularly its advancements in AI.

• Articulate Collaboration Style: Be ready to discuss how you work with different teams and stakeholders.

📝 Enhancement Note: The emphasis on a portfolio and potential design challenges highlights the practical, output-driven nature of this role. Operations professionals should prepare to demonstrate how their analytical and process-oriented skills translate into effective, user-centric AI solutions, perhaps by framing past projects in terms of problem-solving, efficiency gains, and stakeholder alignment.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UX design, wireframing, prototyping, and collaboration. Proficiency is essential.

• AI Tooling (e.g., Lovable, Cursor, or similar): Experience with tools used for creating prototypes for generative AI experiences is a strong plus. This indicates a need to experiment with and visualize AI-driven interactions.

• Prototyping Tools: Beyond Figma, familiarity with other modern prototyping tools may be beneficial for specific use cases.

Analytics & Reporting:

• UX Research Tools: Experience with tools used for user interviews, usability testing, and feedback collection (e.g., UserTesting, Maze, Lookback).

• Data Analysis Tools: While not explicitly mentioned for the designer, understanding how to interpret data from analytics platforms (e.g., Google Analytics, Amplitude, Pendo) to inform design decisions is valuable.

CRM & Automation:

• Workday Platform: While this role designs for Workday, understanding the broader Workday ecosystem and how AI agents integrate into its CRM and automation capabilities is important.

• Integration Tools: Awareness of how agent interactions might integrate with other enterprise systems or third-party applications (e.g., Slack, Teams) is relevant.

📝 Enhancement Note: The explicit mention of Figma and AI prototyping tools is critical. For operations roles, understanding how to leverage such tools for designing automated workflows or customer-facing AI assistants is increasingly valuable, especially in areas like sales enablement or customer success.

👥 Team Culture & Values

Operations Values:

• Customer-First: A fundamental principle guiding all design and product decisions, ensuring that user needs and satisfaction are paramount.

• Continuous Learning & Growth Mindset: The team fosters an environment where learning is ongoing, encouraging experimentation, skill development, and embracing new challenges.

• Collaboration & Empathy: Workday emphasizes working together, supporting teammates, and understanding diverse perspectives, crucial for complex AI design projects.

• Integrity & Trust: Building trustworthy AI agents requires a foundation of integrity in design and development, ensuring transparency and reliability.

• Drive & Optimism: A proactive and positive approach to tackling complex problems and driving innovation.

Collaboration Style:

• Cross-functional Integration: The role thrives on close collaboration with Product Management, Engineering, UX Research, and Design Systems, requiring strong communication and partnership skills.

• Shared Ownership: Teams likely share responsibility for the success of the agent experience, fostering a sense of collective ownership and accountability.

• Feedback Exchange: An open culture of providing and receiving constructive feedback is essential for iterating on complex AI designs and ensuring quality.

• Pattern-Based Scalability: Working closely with Design Systems promotes a collaborative approach to defining and scaling design patterns across the product.

📝 Enhancement Note: The emphasis on a customer-first approach, continuous learning, and collaborative problem-solving aligns well with the needs of effective operations teams. Understanding these values helps candidates demonstrate cultural fit and highlight how they can contribute to a high-performing, user-centric environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Navigating the nuances of LLM outputs, ensuring consistency, reliability, and user trust in dynamic conversational interfaces.

• Balancing Innovation with Consistency: Innovating on new agent capabilities while maintaining alignment with Workday's established design systems and brand guidelines.

• Cross-Platform Integration: Ensuring a seamless and consistent agent experience across diverse platforms (web, mobile, chat applications) and integration points.

• Scalability and Performance: Designing experiences that perform optimally for millions of users globally, considering potential latency and computational constraints.

• User Education and Trust Building: Effectively communicating AI capabilities and limitations to users to foster understanding and build confidence in the agent.

Learning & Development Opportunities:

• AI UX Specialization: Becoming a leader in designing AI-driven user experiences through hands-on work with cutting-edge technology.

• Industry Conferences & Certifications: Potential to attend relevant industry events (e.g., UX, AI, HCI conferences) and pursue certifications.

• Mentorship Programs: Access to Workday's internal mentorship and coaching initiatives for career development.

• Leadership Development: Opportunities to lead design initiatives, influence product strategy, and potentially mentor junior team members as experience grows.

• Exposure to Enterprise AI: Gaining deep insight into the application of AI within large-scale enterprise software environments.

📝 Enhancement Note: The challenges presented are common in the rapidly evolving field of AI design. For operations professionals, framing these challenges within the context of improving business processes, enhancing customer interactions, or driving operational efficiency can demonstrate strategic thinking and problem-solving capabilities.

💡 Interview Preparation

Strategy Questions:

• AI Agent Strategy: "How would you approach designing a new AI agent feature to improve customer self-service for common HR queries within Workday?" (Focus on user research, defining scope, interaction patterns, and success metrics.)

• Conversational Design Rationale: "Describe a complex multi-turn conversation you designed. What were the key challenges, and how did you ensure clarity, accuracy, and graceful error handling?" (Emphasize your thought process, trade-offs, and user-centric approach.)

• Design System Integration: "How do you balance introducing novel AI interaction patterns with the need for consistency within an existing design system like A2UI?" (Discuss collaboration with Design Systems, pattern definition, and scalability.)

Company & Culture Questions:

• Workday's AI Vision: "Based on your research, how do you see AI agents evolving within enterprise software like Workday, and what role does UX play in this evolution?" (Show understanding of the market and Workday's strategic direction.)

• Collaboration Experience: "Describe a time you collaborated with engineering and product management on a complex feature. How did you manage differing opinions and ensure alignment?" (Highlight your teamwork and communication skills.)

• Measuring UX Impact: "How would you measure the success and UX health of the agent experiences you design for Workday?" (Focus on relevant metrics like task completion, user satisfaction, and agent reliability.)

Portfolio Presentation Strategy:

• Storytelling: Frame each case study as a narrative: the problem, your role, the process, the solution, and the impact.

• Visual Clarity: Ensure your visuals are clean, easy to understand, and effectively communicate your design decisions. Use wireframes, mockups, prototypes, and flow diagrams.

• Focus on AI & Conversation: Select portfolio pieces that specifically highlight your experience with AI, conversational design, and complex interaction patterns.

• Articulate Rationale: Be prepared to explain the 'why' behind every design choice, referencing user needs, business goals, and your design expertise.

• Interactive Elements: If possible, incorporate interactive prototypes to demonstrate the user experience dynamically.

📝 Enhancement Note: Interview preparation should emphasize how your operations background (process optimization, data analysis, stakeholder management) informs your approach to UX design for AI. Highlight instances where you've used data to drive decisions or improved efficiency through system design.

📌 Application Steps

To apply for this operations-adjacent UX position:

• Submit your application through the Workday Careers portal link provided in the job posting.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best showcase your experience with AI, conversational design, and complex interaction patterns. Ensure they demonstrate your process and impact.

• Tailor Your Resume: Highlight keywords and experiences related to UX Design, Conversational AI, Interaction Design, Design Systems, and cross-functional collaboration. Quantify achievements where possible.

• Prepare Your Narrative: Practice presenting your portfolio and articulating your design rationale clearly and concisely. Be ready to discuss your approach to challenging design problems and your experience with AI technologies.

• Research Workday: Gain a deep understanding of Workday's products, its market position, and its stated values, particularly regarding AI and customer experience.

⚠️ 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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