Sr. UX Designer, AWS Applied AI Solutions

Role

Senior UX Designer on the AWS Applied AI Solutions Healthcare & Life Sciences team who will define and lead AI-native product experiences for scientists, clinicians, and healthcare professionals. The role centers on designing, constraining, and validating AI agent behavior as a core UX artifact, ensuring transparency, trustworthiness, and scientific rigor in AI-assisted workflows.

Key Responsibilities

• Lead design initiatives that define AI agent personas, behavioral contracts, escalation behavior, citation and confidence requirements.
• Craft and validate long-term design strategies through customer research, prototyping, and proposal documents.
• Design for multiple user personas (bench scientists, computational biologists, clinicians) and handle happy paths, edge cases, and high-risk situations.
• Ensure AI-assisted experiences provide guidance and literature-based reasoning without substituting professional judgment.
• Leverage and evolve design systems (Trans Am, transitioning to RAD) and create domain-specific patterns and scientific visualizations.
• Accelerate delivery through vibe coding and AI-assisted prototyping to produce functional prototypes demonstrating complex scientific workflows.
• Conduct ethnographic studies and user research with scientists and clinicians to surface workflows, collaboration patterns, and trust requirements.
• Partner with engineering and science teams to translate prototypes into production-ready specifications and maintain alignment through regular syncs and tracking.

Requirements

Basic Qualifications

• 8+ years of design experience.
• Available online portfolio.
• Experience with design tools such as Photoshop, Illustrator, and InDesign, and prototyping using HTML, JavaScript, CSS, Ajax.

Preferred Qualifications

• Experience applying Scrum to visual or UX design processes.
• Experience designing complex workflows.

Context

• Work is focused on regulated healthcare and life sciences domains requiring scientific accuracy, citations, and governance for AI features.
• Team builds scaled, agentic AI solutions for computational biology, drug discovery workflows (DBTL), and clinical decision support.

Notes

• Compensation ranges are listed per location in the posting; package may include sign-on payments and restricted stock units (RSUs) in addition to base salary.