Senior UX Designer, Agent Design

Workday•Boulder, CO

1d•Hybrid

About The Position

Workday is a Fortune 500 company and a leading AI platform for managing people, money, and agents, shaping the future of work. The company culture is rooted in integrity, empathy, and shared enthusiasm, fostering a supportive environment for curious and courageous collaborators. Workday is committed to providing trust, tools for growth, skill development, and long-term support to its employees. Join Workday's Connected Experiences Design team, which is dedicated to shaping the future of AI Agent for horizontal Self Service across Workday’s platform. The team's vision is to create intelligent, trustworthy agent experiences that enable users to achieve their goals quickly, confidently, and with less effort. This role involves building world-class agentic experiences across Workday's core entry points, including web, mobile, and third-party integrations through Workday Everywhere. As AI transforms enterprise software interaction, this team defines how self-service agent experiences should be: clear, connected, dependable, and deeply useful, making advanced AI capabilities intuitive and effective for millions of users globally. As a Senior UX Designer on the Connected Experiences Design team, you will collaborate with design and product teams to define how self-service agents communicate, guide users, recover gracefully, and integrate into broader end-to-end journeys across various Workday surfaces. This position specifically focuses on agent design responsibilities, including establishing conversational standards, interaction patterns, and transparency models to ensure Workday's AI agents are trustworthy and effective for millions of users worldwide. This role is ideal for a designer with a strong background in conversational design who can create natural, task-oriented interactions within multi-turn flows. You will also partner with Design Systems to scale new patterns, extend reusable guidance, and maintain product best practices.

Requirements

7+ years of industry experience relevant to product, UX, interaction, conversational, or content design
2+ years of experience building AI products or designing for AI-powered experiences
Experience designing conversational, assistant, or agent-based user experiences
Experience designing natural, task-oriented multi-turn flows, including fallback, repair, and recovery patterns
Experience defining end-to-end journeys for complex self-service or enterprise workflows
Experience partnering with cross-functional teams including Product Management, Engineering, UX Research, Accessibility, Technical Writing, and Design Systems
BA/BS degree in Design (e.g., interaction, graphic, visual communications, product, industrial), Human-Computer Interaction (HCI), Library Sciences, Computer Science (CS), or a related field, or equivalent practical experience
An online portfolio demonstrating simple, usable interfaces, strong systems thinking, conversational or agent-based interaction design, and your work process
Proficiency with Figma and modern design and prototyping tools, with experience using AI tooling such as Lovable, Cursor, or similar to create prototypes for generative AI experiences
Background in conversational design, content design, UX writing, voice design, or related disciplines, with experience writing and refining prompts, sample dialogs, response guidance, or interaction patterns
Strong Knowledge of core design system patterns, including A2UI usage and pattern library expansion, with experience defining, documenting, and scaling new patterns and reusable best practices
Demonstrated creative visioning ability, with a desire to internalize customer experiences and improve them through meaningful, user-centered design
Experienced in data-driven decision making, using research findings, customer feedback, and usability data to define quality standards for conversational UX, response behavior, and transparency
Ability to influence and communicate design rationale to senior leadership, building alignment on product strategy and experience direction
Understanding of enterprise software environments and the product development lifecycle, with the technical acumen to collaborate with engineers on implementation and understand LLM-based system constraints
A collaborative nature with strong communication skills, sincerity, and a desire to bring order to complex design challenges

Responsibilities

Leading the Self Service agent experience at scale for millions of users around the world
Defining conversational UX standards for agent responses, including formatting, length, clarity, tone, and data summarization
Designing natural, task-oriented multi-turn interactions that help users complete self-service goals with confidence
Designing and applying platform transparency patterns such as loading, progress, and "thinking" states so users always know what the agent is doing
Implementing soft refusal, fallback, and error handling patterns to keep users on track when the agent reaches its limits or safety constraints
Contributing to evolving AI Elements Guidelines, working with Engineering to ensure correct implementation in code
Collaborating closely with Design Systems teams to define, document, and socialize new agent patterns and reusable best practices
Applying and extending core A2UI patterns while identifying opportunities for library expansion to support emerging agent experiences
Creating and maintaining design guidance documentation for conversational UX, agent response standards, and cross-surface interaction patterns
Collaborating with the Accessibility team to ensure agent outputs are inclusive and compliant
Validating the agent experience across Web, Mobile, Slack, Microsoft Teams, and Workday Everywhere integrations
Partnering with UX Research on tone of voice testing, user validation, and release readiness
Attending Early Adopter customer calls and synthesizing feedback into design improvements
Tracking and communicating design-impacting bugs and reporting on UX health to VP and Senior Director level partners
Partnering with Product Management to define and refine Critical User Journeys
Collaborating with platform and orchestration partners on agent integration points, handoff logic, and end-to-end flow continuity
Setting and maintaining a high UX quality bar, including heuristic evaluations of LLM outputs
Contributing to Go/No-Go production readiness decisions as the voice of the user
Visualizing the end-to-end user experience and identifying core jobs to be done that expand the agent's tools, capabilities, and skills