UX Designer (2 to 4 years)
athenahealth
- Location
- Bengaluru, Karnātaka, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 10, 2026
About this role
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Position
Summary: Design is evolving as AI blurs the boundaries between research, UX design, product thinking, prototyping and development. In this role, you will help shape human-centered design in an AI-native product environment, using AI-assisted and specification-driven development (SDD) practices while ensuring evidence, creativity and human judgment remain central. You will solve complex healthcare problems involving interconnected systems, large amounts of information and decisions where clarity and accuracy matter. The primary focus is document interoperability—helping healthcare professionals find, review, understand and act on clinical information—as well as referrals and other cross-organization experiences. Research is central to the role. You will work with healthcare professionals, practice staff, clients and clinical/domain experts, combining research insights with product and behavioral data to make evidence-based design decisions.
About the Team
You will be part of a collaborative team working closely with Design, Product, Engineering, clients and clinical/domain experts to create clear, accurate and usable healthcare experiences. The team is exploring how AI can support research, synthesis, problem framing, specification, exploration, prototyping and validation. You will contribute to evolving SDD practices and critically evaluate AI-generated output for accuracy, evidence, bias, usability and human value . Together, the team works on complex, data-rich healthcare workflows where users need to understand information, make decisions and take action across interconnected systems. Essential Job 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 your capabilities grow. Additional Job Responsibilities 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 your initial thinking. Communicate clearly with users and colleagues across different disciplines, cultures and levels of