UX Designer

About This Role

This UX Designer role focuses on shaping human-centered design within an AI-native product environment, particularly in healthcare. The designer will work on complex problems involving interconnected systems and large amounts of information, with a primary focus on document interoperability, referrals, and cross-organization experiences. Research is central to the role, combining insights from healthcare professionals and product data to make evidence-based design decisions.

Responsibilities

• Use AI across research, synthesis, problem framing, specification, exploration, prototyping, and validation as part of an AI-native design approach
• Contribute to evolving specification-driven development (SDD) practices and critically evaluate AI-generated output for accuracy, evidence, bias, usability, and human value
• Help plan and conduct user research with healthcare professionals, practice staff, clients, clinical experts, and domain experts
• Ask thoughtful questions, build rapport, listen closely, and identify meaningful patterns from qualitative research and customer feedback
• Combine qualitative insights with product and behavioral data to understand both what users do and why they do it
• Translate research and evidence into clear problem definitions, workflows, experience principles, and product concepts that help the team determine what to build and why
• Design understandable enterprise experiences, including user flows, information architecture, wireframes, prototypes, and detailed interface designs
• Design for document interoperability, referrals, and cross-organization healthcare workflows, accounting for different users, dense information, edge cases, and system constraints
• Collaborate with Product, Engineering, Design, clients, and domain experts to evaluate trade-offs and build shared understanding
• Drive clearly scoped work forward, communicate progress and risks, seek feedback, and take on increasing complexity as capabilities grow
• Develop a strong understanding of complex healthcare systems and workflows, even without prior U.S. healthcare expertise
• Apply human-centered judgment to determine where AI should and should not influence an experience
• Experiment with AI in research, design, prototyping, technical exploration, and other creative practices, adapting approaches based on learnings
• Reason about complex systems, data, relationships, constraints, and downstream consequences
• Use evidence to separate assumptions from validated insights and respond constructively when new information challenges initial thinking
• Communicate clearly with users and colleagues across different disciplines, cultures, and levels of technical knowledge
• Show initiative, follow through on commitments, seek feedback, and maintain a high standard for the quality and consequences of design decisions