Design Systems Designer, Amazon Health

📍 Job Overview

Job Title: Design Systems Designer, Amazon Health

Company: Amazon

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

Job Type: Full-Time

Category: Design Operations / Product Design

Date Posted: September 03, 2026

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

Remote Status: On-site

🚀 Role Summary

• Drive the evolution and maintenance of a unified design system powering consistent, high-quality user experiences across Amazon Health Services' clinical and consumer products, with a focus on AI-powered interfaces.

• Develop and refine foundational design language, including UI components, visual tokens, interaction patterns, motion standards, AI interaction patterns, and accessibility guidelines.

• Leverage and integrate AI tools within the design systems workflow to accelerate component creation, automate documentation, explore variant generation, and streamline design-to-code handoff.

• Collaborate closely with product designers, front-end engineers, and AI/ML teams to ensure cohesive, trustworthy, and scalable design solutions that enhance customer interaction and product usability.

📝 Enhancement Note: This role is positioned within Amazon Health Services, a critical and growing sector for Amazon, indicating a high-impact opportunity. The explicit emphasis on AI-powered interfaces and integrating AI into design systems operations suggests a forward-thinking and innovative environment. The role requires a blend of strong visual design craft, deep systems thinking, and a proactive approach to leveraging emerging technologies like AI within design workflows.

📈 Primary Responsibilities

• Design, build, and maintain scalable UI components, design patterns, and comprehensive guidelines within the Amazon Health Services (AHS) design system, ensuring adherence to brand standards and best practices.

• Define, document, and evolve visual design tokens, including color palettes, typography scales, spacing systems, elevation principles, and motion standards, to ensure visual and interactive consistency across all AHS products.

• Conduct regular audits of existing product interfaces to ensure adherence to the design system, identify areas for improvement, and propose new or refined patterns to enhance user experience and system efficiency.

• Create detailed specifications for UI components, covering states, responsive behaviors, accessibility requirements (WCAG compliance), and clear usage guidance for product designers and developers.

• Develop and document specific design patterns and interaction models tailored for AI-driven experiences, including generative UI, conversational interfaces, and AI-assisted workflows, ensuring a cohesive and trustworthy user perception.

• Partner closely with front-end engineers to ensure accurate implementation of design system components and patterns in code, facilitating a seamless design-to-development handoff.

• Identify, evaluate, and implement AI-powered workflows and tools to enhance design systems operations, such as automated variant generation, intelligent documentation, and streamlined design-to-code pipelines.

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

• Actively participate in design critiques and system review sessions, providing constructive feedback grounded in systematic design thinking and advocating for the integrity of the design system.

📝 Enhancement Note: The responsibilities highlight a dual focus: core design systems work (components, tokens, patterns) and a significant emphasis on AI integration. This suggests the candidate will not only be a custodian of existing systems but also an innovator in shaping future AI-driven design paradigms. The explicit mention of audits and collaboration with engineers points to a hands-on role requiring both strategic vision and meticulous execution.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Graphic Design, Interaction Design, Human-Computer Interaction, or a related field is typically expected for this level of role. Equivalent practical experience will also be considered.

Experience: A minimum of 3 years of professional design experience, with a proven track record in building and maintaining design systems, pattern libraries, or component libraries.

Required Skills:

• Demonstrated expertise in visual design, with a strong portfolio showcasing a keen eye for typography, color, spacing, visual hierarchy, and overall aesthetic quality.

• Proficiency in systems thinking, with the ability to conceptualize and articulate how individual design elements connect to form a cohesive and scalable design system.

• Hands-on experience in building and maintaining design systems, including the creation and management of UI components, design tokens, and comprehensive pattern libraries.

• Proficiency with design tools, particularly Figma, for component creation, prototyping, and system documentation.

• Understanding of front-end development principles and how design decisions translate into usable code; familiarity with design-to-code principles and processes.

• Experience in creating detailed component specifications, including states, responsive behavior, and accessibility requirements.

• Active use of or strong curiosity about AI tools to accelerate design systems work, such as component generation, variant exploration, automated documentation, and design-to-code pipelines.

• Ability to collaborate effectively within a cross-functional team environment, partnering with designers, engineers, and product managers to deliver high-quality design solutions.

• Strong communication and documentation skills to clearly articulate design decisions, system guidelines, and technical requirements. Preferred Skills:

• Knowledge of mobile and web design patterns and adherence to accessibility standards (e.g., WCAG 2.1 AA).

• Experience with motion design principles and their application within a design system.

• Proven experience contributing to or leading the development of a production design system used by multiple product teams.

• Specific experience designing patterns for AI/ML interfaces, including generative UI, conversational experiences, or AI-assisted workflows.

• Familiarity with a range of AI tooling for design workflows (e.g., generative AI for exploration, prototyping automation, AI-powered design-to-code solutions).

📝 Enhancement Note: The "Basic Qualifications" emphasize a blend of core design craft and a forward-looking interest in AI, suggesting Amazon is looking for individuals who can both manage current systems and innovate for the future. The "Preferred Qualifications" point towards candidates with direct experience in AI-specific design and established design system contributions, indicating a desire for experienced individuals who can hit the ground running.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive online portfolio is mandatory, demonstrating strong visual design skills and a deep understanding of systematic design thinking.

• Showcase how individual components and patterns integrate into a larger, cohesive design system, illustrating scalability and consistency.

• Include case studies detailing the process of building, maintaining, or evolving design systems, component libraries, or pattern libraries.

• Highlight examples of defining and managing visual tokens (color, typography, spacing, etc.) and their application across different product contexts.

• Present work that demonstrates an understanding of design-to-code translation, including interaction patterns, states, and responsive behaviors.

• If applicable, include examples of designing for AI-driven interfaces or leveraging AI tools within design workflows. Process Documentation:

• Demonstrate a clear process for designing and documenting UI components, including their states, edge cases, and accessibility considerations.

• Illustrate methods for auditing existing product surfaces against a design system and identifying areas for improvement or expansion.

• Showcase experience with defining and evolving design tokens and their impact on system consistency.

• Detail your approach to collaborating with engineers to ensure accurate implementation of design system elements.

• Examples of how you've documented design system guidelines and patterns for broad adoption by other designers and teams are highly valued.

📝 Enhancement Note: Given the role's focus on design systems and AI integration, the portfolio should not only showcase polished final designs but also the process behind creating and maintaining scalable design solutions. Emphasis on systematic thinking, collaboration, and the application of AI tools will be critical. Applicants should be prepared to discuss the impact and scalability of their contributions.

💵 Compensation & Benefits

Salary Range:

• Boston, Massachusetts: $117,800 - $160,000 USD annually

• San Francisco, California: $129,600 - $176,000 USD annually

Benefits:

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

• Prescription drug coverage.

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

• Employee Assistance Program (EAP) for support services.

• Mental health support resources.

• Access to a 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.

• Generous Paid Time Off (PTO) policy.

• Comprehensive Parental Leave benefits.

• Restricted Stock Units (RSUs) as part of the total compensation package.

Working Hours: Standard full-time employment, typically 40 hours per week. While on-site, the company culture often supports flexibility within core working hours, allowing for focused work and collaboration.

📝 Enhancement Note: The salary ranges provided are specific to the listed locations and reflect Amazon's compensation structure, which includes base salary, sign-on bonuses, and Restricted Stock Units (RSUs). The wide range indicates that compensation will be highly dependent on the candidate's specific experience, qualifications, and the final negotiation. The benefits package is robust, covering a wide array of employee needs from health and wellness to financial planning and family support.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, E-commerce, Cloud Computing, Digital Health, Artificial Intelligence. Amazon operates across a vast spectrum of industries, with Amazon Health Services focusing specifically on leveraging technology to improve healthcare delivery and consumer well-being.

Company Size: Amazon is a multinational technology company with hundreds of thousands of employees worldwide, ranging from large to very large. This means opportunities for scale and impact are immense, but also requires navigating a large corporate structure.

Founded: Amazon was founded in 1994 by Jeff Bezos, initially as an online bookstore, and has since expanded into a global e-commerce and cloud computing giant. This history signifies a culture of continuous innovation, customer obsession, and long-term thinking.

Team Structure:

• The AHS Design Systems team is described as a "small, focused group" within Amazon Health Services, suggesting a specialized and agile unit.

• The team structure likely involves a reporting line to design leadership within AHS, with close collaboration across product design, engineering, and AI/ML disciplines.

• Cross-functional collaboration is a cornerstone, with designers working alongside front-end engineers, accessibility specialists, and AI/ML teams to build and integrate the design system. Methodology:

• Data-driven decision-making: Amazon emphasizes data analysis to inform design choices and measure impact. For a design systems role, this translates to using usage data, feedback, and performance metrics to guide system evolution.

• Customer obsession: All design efforts are ultimately aimed at improving the customer experience. This means understanding user needs and ensuring the design system supports intuitive, reliable, and trustworthy interactions, especially with AI.

• Bias for action and experimentation: The team is encouraged to experiment, iterate, and leverage AI tools to accelerate processes, indicating a culture that values innovation and rapid prototyping.

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

📝 Enhancement Note: Amazon's culture is known for its intensity, innovation, and customer focus. Within a specialized team like AHS Design Systems, there's likely a blend of Amazon's large-scale operational rigor with the agility needed for a growing product area. The emphasis on AI integration suggests a team that is at the forefront of technological adoption within design.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Design Systems Designer. It implies a candidate who has moved beyond foundational design tasks and can independently manage significant parts of a design system. They are expected to contribute to strategy, drive execution, and mentor others. The focus on AI integration suggests opportunities to become a specialist in a cutting-edge area of design operations.

Reporting Structure: The Design Systems Designer will likely report to a Design Lead or Manager within the Amazon Health Services organization. They will work closely with product designers, front-end engineers, and AI/ML specialists, forming a matrixed reporting and collaboration structure.

Operations Impact: The Design Systems Designer has a profound impact on the entire AHS product portfolio. By establishing and maintaining a consistent, scalable, and user-friendly design foundation, they enable dozens of product designers to move faster, create higher-fidelity experiences, and ensure brand coherence. This directly influences customer trust, product adoption, and ultimately, the success of Amazon's health initiatives. The integration of AI in design systems also positions this role to shape the future of AI-human interaction within the health sector.

Growth Opportunities:

• Specialization in AI Design Systems: Deepen expertise in designing for AI-driven interfaces and leveraging AI tools within design operations, becoming a go-to expert in this emerging field.

• Leadership in Design Systems: Progress to a Senior or Principal Design Systems Designer role, taking on more strategic ownership, leading system-wide initiatives, and mentoring junior designers.

• Cross-Functional Mobility: Transition into related roles such as Product Design, UX Engineering, or even Design Program Management, leveraging a deep understanding of system architecture and implementation.

• Contribution to Core Amazon Design: Potentially move to design systems roles within other Amazon business units, applying learned expertise to a broader range of products and services.

• Mentorship and Team Building: Contribute to the growth of the AHS Design Systems team by mentoring new members and helping to refine team processes and methodologies.

📝 Enhancement Note: This role offers a significant opportunity for career growth, particularly due to its focus on AI and its position within a major tech organization like Amazon. The ability to influence foundational design for a critical sector like healthcare, combined with cutting-edge AI integration, provides a strong platform for developing highly sought-after skills and advancing within the design operations and product design fields.

🌐 Work Environment

Office Type: This role is primarily On-site, requiring the designer to work from one of Amazon's designated offices in Boston or San Francisco. This setup is typical for roles that benefit from close collaboration, spontaneous brainstorming, and direct team interaction.

Office Location(s):

• Boston, Massachusetts: Amazon has a significant presence in Boston, particularly in Kendall Square, a hub for innovation and technology.

• San Francisco, California: Amazon has offices in San Francisco, placing the designer within a vibrant tech ecosystem.

Workspace Context:

• The work environment is expected to be collaborative, with opportunities to engage with a diverse group of designers, engineers, and product managers.

• Access to state-of-the-art design tools, including Figma, and potentially experimental AI tools and platforms, will be standard.

• The AHS Design Systems team fosters a culture of shared learning, experimentation, and mutual support, encouraging designers to push boundaries and share knowledge.

Work Schedule: Standard full-time work schedule (approximately 40 hours per week). While on-site, Amazon often provides flexibility within core business hours to accommodate deep work and team syncs, balancing individual focus time with collaborative needs.

📝 Enhancement Note: The on-site requirement suggests Amazon values in-person collaboration for design systems work, where rapid iteration, whiteboarding, and direct feedback are crucial. The locations in Boston and San Francisco place the designer in major tech hubs, offering access to industry events and a strong professional network.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and portfolio. This is where your online portfolio's strength and relevance to design systems and AI will be critical.

• Hiring Manager/Team Interview: Expect a discussion about your experience, design philosophy, and how you approach design systems work. They will probe your understanding of visual design, systems thinking, and your experience with tools like Figma.

• Design Challenge/Portfolio Deep Dive: This may involve a practical exercise, a presentation of your portfolio with a focus on specific case studies, or a review of how you've tackled design system challenges. Expect questions about your process, decision-making, and the impact of your work. The focus will be on your ability to articulate systematic design thinking and your approach to AI integration.

• Cross-Functional Interviews: You may meet with engineers and product managers to assess your collaboration skills, ability to translate design to code, and understanding of product development lifecycles.

• Leadership Interview: A final interview with a senior leader to assess cultural fit, strategic thinking, and long-term potential within Amazon Health Services.

Portfolio Review Tips:

• Curate Strategically: Select 3-5 of your strongest projects that best represent your design systems expertise, visual design craft, and any experience with AI or complex system design.

• Showcase Process: For each project, detail your role, the problem you were solving, your process (research, ideation, iteration, implementation), the tools you used, and the outcomes/impact.

• Highlight Systems Thinking: Clearly demonstrate how your work contributes to a larger system, showing consistency, scalability, and adherence to design principles.

• Detail AI Integration: If you have experience with AI tools or designing for AI interfaces, make these aspects prominent. Explain how you leveraged AI and its impact.

• Accessibility & Responsiveness: Ensure your portfolio includes examples that showcase your understanding and application of accessibility standards and responsive design principles.

• Prepare to Present: Be ready to walk through your portfolio, articulate your design decisions, and answer questions about your process and impact.

Challenge Preparation:

• Understand Design Systems Fundamentals: Be ready to discuss core concepts like component states, theming, tokens, design tokens, and the relationship between design and code.

• Practice Figma Skills: Ensure you are proficient with Figma for creating components, variants, auto layout, and prototyping.

• AI Tool Familiarity: Be prepared to discuss your experience or curiosity with AI tools relevant to design (e.g., generative design, AI-assisted documentation, AI for code generation).

• Case Study Framework: Develop a structured approach for presenting design challenges, focusing on problem definition, constraints, proposed solutions, rationale, and measured outcomes.

📝 Enhancement Note: Amazon's interview process is known for being thorough and focused on data-driven decision-making and behavioral insights. For this role, expect a strong emphasis on how you apply systematic thinking to complex problems, collaborate with technical teams, and embrace new technologies like AI. Your portfolio is your primary tool to demonstrate these capabilities.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core design tool for creating components, patterns, prototypes, and system documentation. Proficiency is essential.

• Design System Management Platforms: Experience with tools or methodologies for managing and distributing design systems (e.g., Zeroheight, Storybook for documentation; internal Amazon tools).

• Prototyping Tools: Advanced prototyping capabilities within Figma or other tools for demonstrating interaction patterns and responsive behaviors.

Analytics & Reporting:

• While not a primary analyst role, understanding how to interpret design system usage data and user feedback metrics is beneficial. Familiarity with data visualization tools might be helpful for reporting on system adoption and impact. CRM & Automation:

While not directly managing CRM, understanding how design systems support the user experience of various applications, including customer-facing ones, is key.

• Familiarity with AI-powered workflows for design systems:

  • Generative AI for component variant exploration or concept generation.

  • AI tools for automated documentation generation or content creation.

  • AI-assisted design-to-code pipelines for efficient handoff.

📝 Enhancement Note: The explicit mention of Figma and AI tools for design systems operations is critical. Candidates should highlight their experience with these specific technologies and demonstrate an understanding of how they integrate into a broader design and development workflow.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: All design decisions must ultimately serve the needs of Amazon's health customers, ensuring interfaces are intuitive, trustworthy, and effective, especially when incorporating AI.

• Bias for Action & Experimentation: The team is encouraged to take initiative, test new ideas, and leverage AI tools to accelerate innovation in design systems.

• Ownership: Designers are expected to take full responsibility for their contributions, from concept to implementation, and to drive projects to completion.

• Deliver Results: A strong focus on tangible outcomes, efficiency gains, and the measurable impact of the design system on product quality and designer productivity.

• Invent and Simplify: Continuously look for ways to improve processes, tools, and the design system itself, often by leveraging new technologies like AI.

Collaboration Style:

• Cross-functional Integration: Seamless collaboration with product designers, front-end engineers, AI/ML specialists, and accessibility experts is fundamental.

• Data-Informed Feedback: Design critiques and system reviews are grounded in data, user feedback, and systematic analysis.

• Knowledge Sharing: A culture of sharing best practices, learnings, and new discoveries to elevate the entire team and organization.

• Iterative Improvement: A cyclical approach to design and system development, where feedback is continuously incorporated to refine and enhance the system.

📝 Enhancement Note: Amazon's "Leadership Principles" heavily influence its culture. For this role, principles like Customer Obsession, Ownership, Invent and Simplify, and Bias for Action will be particularly relevant. Candidates should be prepared to demonstrate how they embody these values in their day-to-day work and design system contributions.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling a Design System for a Growing Sector: Ensuring the design system can effectively support the rapid expansion and evolving needs of Amazon Health Services, including new AI-driven features.

• Integrating AI Seamlessly: Defining and implementing design patterns for AI experiences that are perceived as trustworthy, ethical, and user-friendly, overcoming potential user skepticism.

• Balancing Consistency with Innovation: Maintaining a cohesive system while encouraging experimentation with new AI technologies and interaction models.

• Design-to-Code Handoff at Scale: Ensuring efficient and accurate translation of complex system components and AI interactions into production code across numerous product teams.

• Adoption and Governance: Encouraging widespread adoption of the design system by product teams and managing contributions to maintain system integrity.

Learning & Development Opportunities:

• AI & Design Specialization: Become an expert in the intersection of AI, design systems, and user experience, a highly in-demand and evolving field.

• Advanced Design Systems Practice: Gain deep experience in scaling, governing, and evolving complex design systems within a large, fast-paced organization.

• Cross-Disciplinary Learning: Work closely with AI/ML engineers and front-end developers, deepening understanding of technical constraints and opportunities.

• Industry Conferences & Training: Potential opportunities to attend leading design and AI conferences, pursue certifications, or participate in specialized workshops.

• Mentorship: Receive guidance from experienced design leaders and AI professionals, and potentially mentor junior designers on the team.

📝 Enhancement Note: The challenges presented are significant but also offer substantial opportunities for professional growth. Successfully navigating these will position the candidate as a leader in a cutting-edge area of design operations and product development.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to convince a team to adopt a new design system pattern. What was your approach, and what was the outcome?" (Focus on influence, communication, and impact.)

• "How would you approach designing a conversational AI interface within a broader design system? What are the key considerations for consistency and user trust?" (Tests AI design thinking and systems integration.)

• "Walk me through your process for creating a new UI component for a design system. What are the critical steps from ideation to implementation-ready spec?" (Demonstrates systematic process and attention to detail.)

• "How do you stay current with emerging design tools and technologies, particularly in the AI space?" (Assesses curiosity and proactivity.) Company & Culture Questions:

• "Why are you interested in Amazon Health Services specifically, and how do you see design systems playing a role in its mission?" (Tests alignment with company goals.)

• "Describe a time you worked in a highly collaborative, cross-functional team. What was your role, and how did you ensure successful outcomes?" (Assesses teamwork and communication.)

• "How do you handle ambiguity or rapidly changing requirements in a fast-paced environment like Amazon?" (Tests adaptability and problem-solving.)

• "What are your thoughts on Amazon's Leadership Principles, and how do they align with your own work philosophy?" (Assesses cultural fit.) Portfolio Presentation Strategy:

• Structure for Impact: Organize your presentation logically: Introduction to the project/problem, your role, your process, key design decisions (with rationale), challenges faced, and measurable outcomes/impact.

• Show, Don't Just Tell: Use visuals effectively. Show wireframes, mockups, prototypes, and live examples where possible. Clearly articulate the "why" behind your design choices.

• Quantify Results: Wherever possible, use data and metrics to demonstrate the impact of your work (e.g., increased efficiency, improved consistency, faster adoption rates).

• Highlight AI Contributions: If applicable, dedicate specific slides or sections to your AI-related work, explaining the tools used, the process, and the benefits achieved.

• Be Prepared for Deep Dives: Anticipate detailed questions about your process, technical considerations, and how your work scales. Practice articulating your thought process clearly and concisely.

📝 Enhancement Note: Amazon's interviews are rigorous. For this role, expect to demonstrate not just design skills but also a strong understanding of operational efficiency, technical feasibility, and the strategic application of AI within design systems. Be ready to discuss your contributions quantitatively and qualitatively.

📌 Application Steps

To apply for this Design Systems Designer position:

• Submit your application through the Amazon Jobs portal. Ensure your resume is tailored to highlight relevant design systems experience, AI tool familiarity, and systemic design thinking.

• Portfolio Optimization: Customize your online portfolio to prominently feature 2-3 of your most relevant design systems projects. Focus on showcasing your process, visual craft, and any experience with AI integration or complex component development. Ensure easy navigation and clear project descriptions.

• Resume Keyword Alignment: Review the job description and strategically incorporate keywords such as "design systems," "Figma," "UI components," "visual tokens," "AI-powered interfaces," "systematic design thinking," "accessibility," and "design-to-code" into your resume and cover letter.

• Prepare Your Narrative: Develop concise stories that illustrate your experience with design systems challenges, collaboration with engineers, and how you leverage new technologies like AI. Practice presenting your portfolio and answering common interview questions for design systems roles.

• Research Amazon Health: Understand the mission and current product landscape of Amazon Health Services. Consider how a robust design system, especially one incorporating AI, contributes to their goals of improving customer experience and healthcare delivery.

⚠️ 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.