UX Designer II - Design Systems , Amazon Health

📍 Job Overview

Job Title: UX Designer II - Design Systems, Amazon Health

Company: Amazon

Location: Boston, Massachusetts, United States; San Francisco, California, United States

Job Type: Full-time

Category: Design / User Experience

Date Posted: August 28, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Design and maintain scalable UI components, patterns, and guidelines within a unified design system for Amazon Health Services.

• Define and evolve visual tokens, interaction patterns, motion standards, and accessibility guidelines that ensure consistency across clinical and consumer products.

• Integrate AI-forward design principles and leverage AI tools to accelerate design systems operations, including variant generation, automated documentation, and design-to-code handoff.

• Collaborate closely with product designers, front-end engineers, and AI/ML teams to shape the foundational design language and ensure cohesive, trustworthy AI-driven experiences.

📝 Enhancement Note: While this role is for a UX Designer, its focus on design systems, component libraries, and the integration of AI into design workflows suggests a strong overlap with operational efficiency and scalability principles common in Revenue Operations and Sales Operations roles. The emphasis on defining standards, ensuring consistency, and enabling other teams to move faster aligns with operational goals.

📈 Primary Responsibilities

• Design, develop, and maintain a comprehensive library of UI components, interaction patterns, and visual guidelines for the AHS design system.

• Define and evolve core design tokens (color, typography, spacing, elevation, motion) to ensure a consistent and high-fidelity user experience across all Amazon Health Services products.

• Conduct regular audits of product surfaces to ensure adherence to the design system, identifying opportunities for new patterns or improvements.

• Create detailed specifications for UI components, including states, responsive behavior, accessibility requirements (WCAG), and clear usage guidance for product designers.

• Develop and document specific design patterns for AI-driven experiences, such as generative UI, conversational interfaces, and AI-assisted workflows, ensuring they integrate seamlessly into the system.

• Partner with front-end engineers to ensure accurate implementation of coded components, bridging the gap between design intent and technical execution.

• Identify, evaluate, and implement AI-powered workflows to enhance design systems operations, focusing on areas like variant generation, automated specification creation, and streamlined design-to-code handoff.

• Contribute to the creation and maintenance of comprehensive design system documentation, ensuring it is easily accessible and understandable for all internal designers.

• Actively participate in design critiques and system reviews, providing constructive feedback informed by systematic thinking and an understanding of scalable design principles.

📝 Enhancement Note: The responsibilities highlight a strong focus on process and system optimization, which are core tenets of operations roles. The emphasis on "scalable UI components," "define and evolve visual tokens," "audit product surfaces for system adherence," and "identify and implement AI-powered workflows" points to a need for systematic thinking and process improvement, akin to operations professionals optimizing workflows.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a Bachelor's or Master's degree in Design, Human-Computer Interaction, or a related field is typically expected for this level.

Experience: Minimum of 3 years of professional design experience, with a demonstrated ability to contribute to or build production-level design systems.

Required Skills:

• Design Systems: Proven experience in building, maintaining, or significantly contributing to a production design system used by multiple product teams.

• Visual Design Craft: Strong visual design skills with an excellent eye for detail, typography, color theory, and layout.

• Systems Thinking: Ability to think systematically, understand complex interdependencies, and design for scalability and consistency across a large product suite.

• UI Component Design: Expertise in designing and specifying reusable UI components and patterns.

• Design Tokens: Understanding of design tokens and their application for managing visual styles at scale.

• Figma Proficiency: Advanced proficiency in Figma for design, prototyping, and component management.

• Prototyping: Ability to create interactive prototypes to test and demonstrate design concepts, including responsive behavior.

• Accessibility: Solid understanding of accessibility standards (WCAG) and inclusive design principles, with the ability to integrate them into system components.

Preferred Skills:

• AI/ML Interface Design: Experience designing patterns specifically for AI/ML interfaces, including generative UI, conversational experiences, or AI-assisted workflows.

• AI Tooling for Design: Familiarity with AI tools that can accelerate design workflows, such as generative AI for exploration, prototyping automation, or design-to-code pipelines.

• Front-End Implementation Knowledge: Familiarity with front-end technologies (HTML/CSS, React, or similar) and an understanding of how design tokens map to code.

• Motion Design: Experience defining and documenting motion standards within a design system.

• Cross-functional Collaboration: Proven ability to collaborate effectively with engineers, product managers, and other stakeholders.

📝 Enhancement Note: The preferred qualifications, particularly "Familiarity with AI tooling for design workflows" and "front-end implementation (HTML/CSS, React, or similar) and how design tokens map to code," suggest that candidates with a technical aptitude and an understanding of how design translates into functional code will be highly valued. This aligns with operations professionals who often bridge the gap between business needs and technical solutions.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• An online portfolio showcasing your design process, systems thinking, and impact on user experience.

• Specific case studies demonstrating your experience with design systems, including examples of component design, pattern definition, and scalability.

• Visual examples of your work on UI components, design tokens, and interaction patterns.

• Evidence of how you've ensured consistency and quality across multiple product surfaces.

• Demonstrations of how you've applied accessibility and inclusive design principles in your work. Process Documentation:

• Case studies should clearly articulate the problem statement, your design process, the solutions implemented, and the measurable outcomes.

• Include examples of how you have documented design system guidelines, component specifications, and usage instructions.

• Showcase any contributions to process improvement within a design system workflow, such as automation or efficiency gains.

• Highlight your understanding of the design-to-code handoff process and any experience with tools that facilitate this.

📝 Enhancement Note: For this role, a portfolio is not just about showcasing visual design but demonstrating a systematic approach to building and scaling design resources. This is highly analogous to an operations professional's need to demonstrate process optimization, system implementation, and measurable impact through case studies. The emphasis on "process documentation" and "measurable outcomes" is critical.

💵 Compensation & Benefits

Salary Range:

• San Francisco, California: $132,500 - $185,000 USD annually

• Boston, Massachusetts: $120,500 - $163,000 USD annually

Benefits:

• Comprehensive health insurance package including medical, dental, and vision.

• Prescription insurance.

• Basic Life & Accidental Death & Dismemberment (AD&D) insurance, with options for supplemental life plans.

• Employee Assistance Program (EAP) and Mental Health Support resources.

• Medical Advice Line.

• Flexible Spending Accounts (FSAs) for healthcare and dependent care.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) retirement savings plan with company matching.

• Paid Time Off (PTO).

• Parental Leave.

• Sign-on payments.

• Restricted Stock Units (RSUs).

Working Hours: Standard full-time work week, typically 40 hours per week.

📝 Enhancement Note: The salary ranges provided are specific to the listed locations and reflect industry standards for mid-level UX Designers at large tech companies. The inclusion of "Sign-on payments" and "Restricted stock units (RSUs)" indicates a competitive total compensation package beyond base salary, common in tech roles. The benefits are extensive and align with typical offerings for full-time employees at major corporations, providing a robust support system for employees.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Healthcare, E-commerce, Artificial Intelligence. Amazon operates across multiple sectors, with Amazon Health Services specifically focusing on leveraging technology to improve healthcare delivery and consumer access.

Company Size: Large enterprise (over 10,000 employees). This means established processes, a wide array of internal tools, and significant opportunities for cross-functional collaboration and impact.

Founded: 1994. Amazon's long history indicates a mature organization with a deep understanding of market dynamics and a culture of continuous innovation.

Team Structure:

• The AHS Design Systems team is described as a "small, focused group" within the broader Amazon Health Services organization.

• This suggests a collaborative, agile environment where team members have significant autonomy and influence.

• Reporting structure is likely within a design leadership hierarchy, with close partnerships to engineering and product management teams.

• Cross-functional collaboration is a key aspect, involving product designers, front-end engineers, and AI/ML teams. Methodology:

• Data-Driven Design: Amazon's culture emphasizes data-driven decision-making, which will likely apply to how the design system's effectiveness is measured and iterated upon.

• Customer Obsession: A core Amazon leadership principle, ensuring all design efforts are focused on delivering value and solving customer problems in healthcare.

• Innovation and Experimentation: The team is actively integrating AI into its workflows and encourages pushing boundaries in AI-forward design.

• Scalability and Efficiency: The core purpose of a design system is to enable faster, more consistent product development, reflecting operational efficiency principles.

Company Website: https://www.amazon.com/

📝 Enhancement Note: The description of the AHS Design Systems team as "small, focused" within a large organization like Amazon implies a blend of startup agility and corporate resources. This environment is ideal for operations professionals who can implement efficient processes and systems within a structured framework. The emphasis on "customer obsession" and "data-driven decision-making" are critical operational principles.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level Designer (UX Designer II). This role implies a level of independence and the ability to take ownership of significant design system components and processes. It's a crucial step beyond entry-level, requiring a solid understanding of design principles and system architecture.

Reporting Structure: The role reports into the AHS Design Systems team, likely under a Design Lead or Manager. Close collaboration is expected with product designers, front-end engineers, and AI/ML specialists.

Operations Impact: The design system is foundational to the entire Amazon Health Services product suite. This role has a direct impact on the efficiency, consistency, and quality of user experiences across all AHS products, thereby influencing customer satisfaction, adoption rates, and potentially operational costs associated with design and development. The integration of AI also positions the role at the forefront of future healthcare technology.

Growth Opportunities:

• Specialization: Deepen expertise in design systems, AI-driven design, and accessibility within a large-scale context.

• Leadership: Potential to grow into a senior design systems role, leading specific initiatives or mentoring junior designers.

• Cross-functional Expertise: Gain valuable experience working with cutting-edge AI/ML teams and understanding the intricacies of front-end development and design-to-code pipelines.

• Influence: Opportunity to significantly shape the design language and user experience for a critical area of Amazon's business.

• Skill Development: Continuous learning in AI tooling and advanced design system methodologies.

📝 Enhancement Note: The growth opportunities highlight a clear path for career advancement within Amazon's design and operations framework. The "Operations Impact" section emphasizes how this design role contributes to operational efficiency and scalability, mirroring the goals of dedicated operations roles.

🌐 Work Environment

Office Type: On-site. This role requires a physical presence in either the Boston or San Francisco office.

Office Location(s):

• Boston, Massachusetts: A hub for technology and healthcare innovation.

• San Francisco, California: A major technology center with a vibrant design community.

Workspace Context:

• Collaborative Environment: The team fosters collaboration, with opportunities to work closely with designers, engineers, and AI/ML specialists.

• Tools and Technology: Access to industry-standard design tools (Figma) and potentially cutting-edge AI tools for design acceleration.

• Team Interaction: Regular team stand-ups, design critiques, and system reviews are integral to the workflow, promoting continuous feedback and knowledge sharing.

Work Schedule: A standard full-time schedule, likely with some flexibility for focused work and collaboration as needed, especially when working with teams across different time zones. The on-site nature implies adherence to office hours and team synchronization.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration and team synergy, which can be beneficial for complex projects requiring rapid iteration and knowledge transfer. This also implies a structured work environment where operational efficiency is maintained through consistent presence and team alignment.

📄 Application & Portfolio Review Process

Interview Process: Typically a multi-stage process at Amazon, likely including:

• Recruiter Screen: Initial conversation to assess basic qualifications and cultural fit.

• Hiring Manager Interview: Deeper dive into experience, skills, and role expectations.

• Portfolio Review/Design Challenge: A critical stage where candidates present their work, showcasing their design process, systems thinking, and ability to solve complex problems. This may involve a specific design challenge related to design systems or AI interfaces.

• Team Interviews: Meetings with potential peers (designers, engineers) to assess collaboration style, technical understanding, and team fit.

• Leadership Principles Interview: Amazon heavily emphasizes its Leadership Principles; expect questions designed to assess how you embody these principles (e.g., Customer Obsession, Bias for Action, Ownership, Dive Deep).

Portfolio Review Tips:

• Focus on Systems Thinking: Clearly articulate how you approached building or contributing to a design system, emphasizing scalability, consistency, and maintainability.

• Showcase Process: Detail your problem-solving approach, research methods, iteration process, and how you made design decisions.

• Quantify Impact: Where possible, provide metrics or qualitative evidence of the impact of your design system work (e.g., faster design cycles, reduced UI inconsistencies, improved accessibility compliance).

• Highlight AI Integration: If you have experience with AI in design workflows, showcase it with specific examples and outcomes.

• Demonstrate Collaboration: Explain how you worked with engineers, product managers, and other stakeholders.

• Prepare for Technical Depth: Be ready to discuss how design tokens map to code and your understanding of front-end implementation.

Challenge Preparation:

• Design System Audit: Be prepared to audit an existing UI for system adherence and identify areas for improvement.

• Component Design: You might be asked to design a new component or enhance an existing one within a given system context.

• AI Pattern Definition: A challenge could involve defining interaction patterns for a new AI-driven feature.

• Problem-Solving Scenarios: Practice answering behavioral questions related to Amazon's Leadership Principles, focusing on examples that demonstrate your operational mindset (e.g., efficiency, problem-solving, ownership).

📝 Enhancement Note: The emphasis on "Leadership Principles" and "quantifying impact" is crucial for operations-minded candidates. Demonstrating how your design system work drives efficiency and measurable business outcomes will be key. The portfolio review is akin to an operations professional presenting a case study on process improvement.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for design, prototyping, and component management within the design system. Advanced proficiency is expected.

• Design System Platforms: Experience with tools that support design system management, documentation, and version control.

Analytics & Reporting:

• While not a direct analytics role, understanding how design system adoption and usage are tracked is beneficial. Familiarity with data visualization tools might be a plus for understanding system health metrics. CRM & Automation:

• Design-to-Code Tools: Familiarity with tools or pipelines that automate the handoff of design assets and specifications to front-end code.

• AI/ML Tools for Design: Exploration of generative AI tools for variant generation, concept exploration, and workflow automation.

• Collaboration Tools: Standard suite of tools for communication and project management (e.g., Slack, Confluence, JIRA).

📝 Enhancement Note: The explicit mention of "design-to-code pipelines" and "AI-powered workflows" highlights the operational aspect of this design role. Candidates with experience in automating processes or integrating systems will have an advantage. This mirrors the tech stack considerations in RevOps/SalesOps for CRM, MAP, and BI tools.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deep focus on understanding and meeting the needs of both internal design teams and end-users of Amazon Health Services products.

• Ownership: Taking full responsibility for the design system's quality, scalability, and evolution.

• Bias for Action: Proactively identifying opportunities for improvement and driving initiatives forward, including the adoption of new AI tools.

• Invent and Simplify: Continuously seeking innovative ways to improve the design system and its operational efficiency.

• Dive Deep: Thoroughly understanding the technical and user context to make informed design decisions.

Collaboration Style:

• Cross-functional Partnership: Working closely and effectively with engineers, product managers, and AI/ML specialists to ensure seamless integration of design system outputs.

• Feedback-Driven: Actively participating in critiques and reviews, providing and receiving constructive feedback to elevate the quality of the design system.

• Knowledge Sharing: Contributing to documentation and team discussions to ensure best practices are disseminated and adopted across product teams.

📝 Enhancement Note: The alignment of Amazon's Leadership Principles with operational values is strong. "Invent and Simplify" and "Bias for Action" directly translate to efficiency improvements and process optimization, which are central to operations roles.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling a Design System: Ensuring the design system remains robust, maintainable, and performant as Amazon Health Services grows and its product offerings expand.

• Integrating AI: Navigating the complexities of integrating novel AI capabilities into user interfaces and the design system itself, ensuring trustworthiness and usability.

• Cross-Team Adoption: Driving consistent adoption and adherence to the design system across a diverse group of product teams with varying needs and timelines.

• Balancing Craft and Scalability: Maintaining high visual design quality while ensuring the system is efficient to build and maintain.

Learning & Development Opportunities:

• AI in Design: Gain hands-on experience with cutting-edge AI tools and methodologies for design acceleration and innovation.

• Large-Scale Systems: Develop expertise in designing and managing design systems for enterprise-level products.

• Accessibility Leadership: Become a subject matter expert in accessibility and inclusive design within a major healthcare tech organization.

• Mentorship: Opportunities to learn from experienced designers and engineers within Amazon.

📝 Enhancement Note: The challenges presented are highly operational in nature – scalability, integration, adoption, and efficiency. Overcoming these requires a systematic, process-oriented approach, which is a hallmark of successful operations professionals.

💡 Interview Preparation

Strategy Questions:

• Design System Strategy: "How would you approach auditing and improving an existing design system for a large healthcare product suite?" (Focus on systematic audit process, prioritization, and stakeholder buy-in.)

• AI Integration Strategy: "Describe a process for defining and integrating AI-driven interaction patterns into a mature design system." (Highlight research, prototyping, collaboration with AI/ML teams, and documentation.)

• Cross-functional Collaboration: "How do you ensure alignment and buy-in from engineering teams when defining new components or patterns for a design system?" (Emphasize communication, early involvement, and understanding technical constraints.)

Company & Culture Questions:

• Leadership Principles: Prepare specific examples that demonstrate your adherence to Amazon's Leadership Principles, particularly "Customer Obsession," "Ownership," "Bias for Action," and "Invent and Simplify."

• Team Dynamics: "How do you contribute to a collaborative team environment, especially when working with remote or distributed colleagues?" (Focus on proactive communication and knowledge sharing.)

• Impact Measurement: "How would you measure the success and adoption of a design system?" (Discuss metrics like component usage, consistency scores, and impact on design/development velocity.)

Portfolio Presentation Strategy:

• Narrative Flow: Structure your portfolio presentation to tell a clear story about your design process, challenges, solutions, and impact.

• Highlight Systems Thinking: For each case study, explicitly call out how your work demonstrates systematic thinking, scalability, and reusability.

• Demonstrate AI/Technical Understanding: If applicable, show how you've leveraged AI tools or considered front-end implementation in your design system work.

• Focus on Process Improvement: Frame your contributions in terms of how they improved efficiency, consistency, or quality, mirroring operational improvements.

• Be Prepared for Deep Dives: Anticipate detailed questions about your design decisions, technical considerations, and how you handled trade-offs.

📝 Enhancement Note: The interview preparation advice emphasizes a structured, process-driven approach to answering questions and presenting work, aligning perfectly with the skills valued in operations roles. Demonstrating an understanding of "impact measurement" and "process improvement" will be key differentiators.

📌 Application Steps

To apply for this UX Designer II - Design Systems position:

• Submit your application through the Amazon Jobs portal.

• Portfolio Customization: Tailor your online portfolio to specifically highlight your experience with design systems, component design, and any AI-related design work. Ensure case studies clearly articulate your process, impact, and systems thinking.

• Resume Optimization: Update your resume to prominently feature keywords related to design systems, UI components, design tokens, accessibility, AI-driven design, and relevant tools (Figma). Quantify achievements where possible.

• Interview Preparation: Thoroughly review Amazon's Leadership Principles and prepare specific, STAR-method (Situation, Task, Action, Result) examples that showcase your operational mindset, problem-solving skills, and collaborative abilities. Practice presenting your portfolio.

• Company Research: Gain a deep understanding of Amazon Health Services' mission, products, and the role of design systems within a large, innovative tech company. Research current trends in AI-driven design and healthcare technology.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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