About the Role
We're seeking a visionary Lead UI/UX Designer to pioneer the next generation of AI-powered enterprise solutions. This is a unique opportunity to shape how large-scale organizations leverage AI to transform their operations, streamline complex workflows, and better serve their stakeholders.
Key Responsibilities
1. Design End-to-End AI Workflows
Understand existing workflows
in complex organizations through immersive researchReimagine processes
using AI capabilities while respecting compliance requirementsDesign human-in-the-loop systems
that maintain accountability and transparencyCreate adaptive interfaces
that guide users through context-setting, AI interaction, and output verification
2. Pioneer Enterprise AI Interaction Models
Invent new UX paradigms
for probabilistic systems with no existing precedentsDesign for uncertainty
by creating interfaces that communicate confidence levels and alternativesDevelop trust mechanisms
that help users confidently leverage AI recommendationsCreate verification workflows
that make it easy to validate AI outputs before implementation
3. Translate Complex Organizational Processes into Intuitive Interfaces
Convert dense operational workflows
into clear, step-by-step guided experiencesDesign for diverse user bases
from field workers to executivesEnsure accessibility compliance
with industry standards (WCAG, ADA)Minimize training requirements
through intuitive, self-explanatory designs
4. Conduct Deep Contextual Research
Embed with client teams
to understand daily workflows and pain pointsInterview stakeholders
across organizational hierarchiesMap existing processes
and identify AI transformation opportunitiesCreate personas and journey maps
specific to enterprise roles
5. Collaborate Across Multidisciplinary Teams
Partner with AI/ML engineers
to understand model capabilities and limitationsWork with domain experts
to ensure compliance with industry regulationsCollaborate with business analysts
to align designs with organizational goalsAdvocate for user needs
while balancing technical and compliance constraints
6. Rapid Prototyping and Validation
Create low-fidelity prototypes
to test AI interaction concepts quicklyDevelop high-fidelity mockups
for stakeholder buy-inConduct usability testing
with actual end usersIterate rapidly
based on feedback and AI model improvements
7. Establish and Maintain Design System
Define design tokens
(typography, color, spacing, motion), component specs, and usage guidelines aligned to WCAG 2.2 AA and enterprise compliance needs (audit trails, provenance indicators)Build reusable UI components
- Create and maintain a Figma library
and code-aligned component library
(e.g., Storybook) that developers can adopt across productsGovernance & contribution model
- Set versioning, review gates, and contribution workflow with PM/Engineering (changelog, deprecation policy)Handoff excellence
- Provide redlines, component APIs, empty/error/loading states, and telemetry hooks; partner with engineers to ensure high-fidelity implementationTheming & localization
- Ensure tokens/components support theming (CSS variables) and i18n/RTL-LTR considerations
Required Qualifications
Education & Experience
- Bachelor's degree in HCI, Design, Computer Science, or related field (or equivalent experience)
4+ years of UX/UI design experience
, with at least 2 years focusing on:- AI driven products
- Enterprise applications
- Complex workflow automation systems
Portfolio required
demonstrating:- AI-powered interface designs
- Complex systems simplified for non-technical users
- End-to-end workflow transformations
Technical Skills
Design Tools
: Expert proficiency in Figma (including libraries, variants, auto-layout), Sketch, or Adobe XDDesign System Experience
:- Shipped/maintained a multi-product
design system
(tokens components documentation) - Expert in
Figma libraries/variants/auto-layout
- Comfortable with
Storybook
(or equivalent), Style Dictionary/Tokens Studio
for token pipelines - Proven ability to design accessible components (ARIA, keyboard flows, color contrast)
- Strong handoff specs, component APIs, and engineering collaboration (Git/PR reviews a plus)
Prototyping
: Experience with interactive prototyping toolsResearch Methods
: Proven expertise in:- Contextual inquiry and ethnographic research
- User interviews and stakeholder mapping
- Journey mapping and service design
- Usability testing and A/B testing
AI Understanding
: Familiarity with:- Generative AI capabilities and limitations
- Prompt engineering concepts
- Human-AI interaction patterns
- Confidence scoring and uncertainty visualization
Preferred Qualifications
- Experience with
multi-tenant SaaS
platforms - Background in
service design
or systems thinking - Familiarity with frontend stacks (e.g.,
React/TypeScript
, CSS variables, utility-first CSS) to co-design component APIs and states - Experience measuring
component adoption
, time-to-ship
reduction, and UX consistency
metrics - Ability to create and present component case studies showing tokens, states, accessibility considerations, and code/API handoff