UX Designer, AI Services

📍 Job Overview

Job Title: UX Designer, AI Services

Company: Amazon

Location: Seattle, Washington; Santa Clara, California; East Palo Alto, California

Job Type: Full-Time

Category: User Experience (UX) Design / Product Design

Date Posted: 2026-08-05

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

Remote Status: On-site

🚀 Role Summary

• Design and deliver intuitive, user-centered console experiences for Amazon Bedrock, AWS's rapidly growing generative AI platform.

• Translate complex AI/ML concepts into clear, usable interfaces for developers evaluating models, optimizing prompts, and managing inference.

• Own end-to-end design processes, from user research and concept exploration to high-fidelity prototyping and production handoff.

• Collaborate closely with product managers, engineers, and other designers to ensure seamless integration and a high-quality user experience.

• Contribute to evolving design patterns and leverage emerging AI-assisted design tools to enhance team workflows.

📝 Enhancement Note: This role is situated within a high-growth, critical AWS service (Amazon Bedrock), indicating significant visibility and potential for impact. The emphasis on "technical fluency" and designing for developers suggests a need for a designer comfortable with complex technical subjects and user workflows in a technical context.

📈 Primary Responsibilities

• Lead the design of user interfaces for features within the Amazon Bedrock console, focusing on model evaluation, prompt optimization, and inference usage dashboards.

• Conduct user research, usability testing, and analyze data to inform design decisions and validate solutions for developers.

• Develop detailed interaction designs, wireframes, and high-fidelity prototypes to effectively communicate design concepts and user flows.

• Partner with Product Managers and Engineering teams to define requirements, understand technical constraints, and ensure successful implementation of designs.

• Present design work and rationale clearly in critiques and stakeholder reviews, actively incorporating feedback to refine solutions.

• Contribute to the development and maintenance of shared design patterns and systems to ensure consistency across AWS AI services.

• Experiment with and adopt AI-assisted design tools to improve design workflows and explore new ways of working.

• Advocate for the customer by deeply understanding developer needs and translating them into exceptional user experiences.

📝 Enhancement Note: The responsibility for "end-to-end design" and "owning features" indicates a significant level of autonomy and ownership for the selected candidate within the Bedrock console. The requirement to "conduct and synthesize user research" and "present work regularly" highlights the importance of both analytical and communication skills.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience: Minimum of 3 years of professional design experience.

Required Skills:

• Proven experience in user-centered design, creating end-to-end user experiences for desktop and mobile applications.

• Proficiency in design and prototyping tools such as Figma, Adobe Creative Cloud, Sketch, or similar.

• Strong understanding of information architecture, interaction design principles, and best practices.

• Demonstrated ability to conduct user research, usability testing, and synthesize findings into actionable design insights.

• Experience collaborating with product managers and engineers in an agile development environment.

• Ability to articulate design decisions clearly and present work effectively to stakeholders.

• Online portfolio showcasing a strong track record of shipping user-centered design solutions and patterns. Preferred Skills:

• Demonstrated technical fluency, with comfort working with complex technical concepts and potentially within an IDE (Integrated Development Environment).

• Subject-matter expertise or significant experience within the Generative AI (GenAI) or Machine Learning (ML) field.

• Experience designing for developer tools, cloud services, or complex technical platforms.

• Familiarity with creating and maintaining design systems.

• Experience with data analysis to inform design decisions and measure impact.

• Ability to work effectively in a fast-paced, dynamic team environment.

📝 Enhancement Note: The preference for "technical fluency" and "subject-matter expertise within the GenAI field" suggests that candidates with prior experience in AI/ML product design or a strong technical aptitude will be highly competitive. The mention of "working in an IDE" indicates a potential for deeper technical collaboration or understanding of the development environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3 distinct projects demonstrating end-to-end user-centered design process.

• Include examples of user research, problem definition, ideation, wireframing, prototyping, and final UI design.

• Highlight projects where you translated complex technical concepts into intuitive user interfaces.

• Demonstrate experience with information architecture and creating scalable design patterns.

• Provide evidence of collaboration with engineering and product teams for implementation.

• Clearly articulate your role and contributions in each project. Process Documentation:

• Detail your approach to user research, including methodologies used and how insights were integrated into designs.

• Explain your prototyping process and how you used it for validation and stakeholder communication.

• Illustrate how you collaborated with engineering teams for design handoff and implementation, addressing technical constraints.

• Showcase examples of how you used data analysis or usability testing to iterate on designs and improve user experience.

• Document your experience contributing to or utilizing design systems for consistency and efficiency.

📝 Enhancement Note: For this role, a portfolio that emphasizes the design of complex technical interfaces, particularly for developer audiences or cloud services, will be highly valued. Demonstrating a structured design process that incorporates research, iteration, and collaboration with technical teams is crucial.

💵 Compensation & Benefits

Salary Range:

• Seattle, WA: $117,800 - $160,000 USD annually

• Santa Clara, CA & East Palo Alto, CA: $135,500 - $184,000 USD annually

Benefits:

• Comprehensive health insurance (medical, dental, vision, prescription)

• Basic Life & AD&D insurance with option for supplemental life plans

• Employee Assistance Program (EAP) and Mental Health Support

• Medical Advice Line

• Flexible Spending Accounts (FSAs)

• Adoption and Surrogacy Reimbursement coverage

• 401(k) matching

• Paid time off (PTO)

• Parental leave

• Sign-on payments

• Restricted Stock Units (RSUs)

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

📝 Enhancement Note: The salary ranges provided reflect significant regional cost-of-living differences between Seattle and the Silicon Valley area (Santa Clara/East Palo Alto). The inclusion of sign-on payments and RSUs indicates a competitive total compensation package beyond the base salary. The benefits package is extensive, typical of a large tech company like Amazon.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing, Artificial Intelligence, E-commerce, Technology. Amazon Web Services (AWS) is a leader in cloud infrastructure, with AI Services being a strategic growth area.

Company Size: Very Large (Amazon is one of the largest tech companies globally with over 1.5 million employees).

Founded: 1994. Amazon has a long-standing culture of innovation, customer obsession, and a fast-paced, data-driven environment.

Team Structure:

• The UX Designer will be part of the Amazon Bedrock team within AWS AI Services, reporting into a design leadership structure.

• This role involves close collaboration with Product Managers, Software Development Engineers (SDEs), and potentially other UX Designers and researchers supporting the Bedrock platform.

• The team is described as dynamic, fast-moving, and highly technical, valuing designers who are engaged and willing to delve into technical details. Methodology:

• The team emphasizes a "rocketship service" mentality, indicating rapid iteration and growth.

• Design processes include early prototyping, testing with real customers, and quick iteration cycles.

• A strong emphasis is placed on data analysis and usability testing to inform design decisions.

• Collaboration is key, with regular design critiques and knowledge-sharing sessions among designers.

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

📝 Enhancement Note: Amazon's culture is known for its intensity, customer obsession, and leadership principles. For a UX Designer in AI Services, this means being comfortable with ambiguity, driving for results, and deeply understanding the technical needs of developers using AWS products. The "rocketship service" descriptor for Bedrock suggests a high-stakes, high-reward environment.

📈 Career & Growth Analysis

Operations Career Level: Mid-Level UX Designer (UX Designer II). This level typically involves owning significant features or components, demonstrating strong design craft, and contributing to design system thinking, while still being mentored by senior designers.

Reporting Structure: The UX Designer will report to a design lead or manager within the AWS AI Services organization, likely with dotted-line reporting or close collaboration with Product Managers and Engineering Leads for specific projects.

Operations Impact: This role has a direct impact on the adoption and success of Amazon Bedrock, a cornerstone of AWS's AI strategy and a significant revenue driver. By designing intuitive interfaces, the UX Designer will enable millions of developers to leverage generative AI more effectively, influencing customer spend and competitive positioning in the AI market.

Growth Opportunities:

• Skill Specialization: Deepen expertise in designing for AI/ML, generative AI, cloud platforms, and developer tools.

• Leadership Development: Progress to Senior UX Designer roles, leading larger initiatives or mentoring junior designers. Opportunities to influence design strategy for broader AI services.

• Cross-Functional Exposure: Gain in-depth understanding of cloud infrastructure, AI model development, and go-to-market strategies for complex technical products.

• Tooling & Innovation: Opportunity to work with and influence the adoption of cutting-edge AI-assisted design tools and workflows.

📝 Enhancement Note: The "UX Designer II" title and the responsibilities outlined suggest a role that offers substantial growth potential. The candidate is expected to move beyond individual contributions to influencing design direction and potentially taking on more strategic responsibilities within the AI services domain.

🌐 Work Environment

Office Type: On-site. This role requires working from one of the specified Amazon office locations.

Office Location(s): Seattle, Washington; Santa Clara, California; East Palo Alto, California. These locations are in major tech hubs, offering access to a vibrant ecosystem.

Workspace Context:

• The workspace is likely collaborative, with open-plan office layouts or dedicated team areas designed to foster interaction.

• Access to standard office amenities, IT support, and potentially specialized hardware for design work.

• The environment is fast-paced and team-oriented, encouraging regular interaction with peers and cross-functional teams.

• Expect a culture that values innovation, data-driven decision-making, and a strong focus on customer experience.

Work Schedule: Full-time, typically 40 hours per week. While Amazon is known for its demanding pace, there may be flexibility in daily start/end times, but consistent on-site presence is expected.

📝 Enhancement Note: As an on-site role within a major tech company, the work environment will be professional, collaborative, and geared towards high productivity. The emphasis on "working closely with product managers and engineers" and "regular design critiques" implies a highly interactive and communicative office setting.

📄 Application & Portfolio Review Process

Interview Process:

• Online Application & Screening: Submit resume and portfolio. Initial review for basic qualifications and portfolio relevance.

• Recruiter Screen: A call with a recruiter to discuss your background, experience, career goals, and interest in the role and Amazon.

• Hiring Manager / Design Lead Interview: Deeper dive into your experience, design philosophy, and fit with the team.

May include portfolio walkthrough.

• Design Bar Raiser / Peer Interviews: Typically 2-4 interviews focusing on design craft, problem-solving, technical fluency, collaboration, and alignment with Amazon's Leadership Principles. This will likely include:

  • Portfolio Review & Deep Dive: Presenting 1-2 key projects, detailing your process, challenges, and outcomes.
  • Design Problem-Solving Exercise: A hypothetical design challenge related to AI services or developer tools.
  • Behavioral Questions: Assessing your ability to handle ambiguity, dive deep, disagree and commit, and deliver results.

• Final Round / Offer: Discussions with senior leadership and offer negotiation.

Portfolio Review Tips:

• Curate Selectively: Choose 2-3 projects that best showcase your skills relevant to this role (complex technical interfaces, developer tools, AI/ML, cloud services).

• Tell a Story: For each project, clearly articulate the problem, your role, the process, key decisions, challenges, and quantifiable outcomes. Use visuals effectively.

• Demonstrate Process: Show your thinking beyond just the final screens. Include sketches, wireframes, user flows, research insights, and iterations.

• Highlight Technical Fluency: If possible, include projects that demonstrate your comfort with technical concepts or collaboration with engineers.

• Tailor to Amazon: Understand Amazon's Leadership Principles and how your experience aligns with them.

Challenge Preparation:

• Understand the Domain: Research Amazon Bedrock, generative AI concepts, and common developer workflows for using AI models.

• Practice Problem-Solving: Be ready to tackle ambiguous design problems. Think about user needs, technical constraints, and business goals.

• Structure Your Response: Use a framework (e.g., understand, explore, decide, validate) to structure your thinking and communication.

• Articulate Assumptions: Clearly state any assumptions you make during the exercise.

• Focus on Impact: How would your design solution drive adoption, improve efficiency, or enhance the developer experience?

📝 Enhancement Note: The interview process at Amazon is rigorous and heavily relies on assessing against Leadership Principles. For a UX role, the portfolio review is paramount, and candidates must be prepared to articulate their design process and impact in detail, especially concerning technical products.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, industry standard), Adobe Creative Cloud (Photoshop, Illustrator, XD), Sketch.

• Collaboration: Slack, Chime, Confluence, Jira.

• User Research Platforms: UserTesting.com, Lookback, or internal AWS tools.

• Version Control/Handoff: Zeplin, Abstract, or Figma's built-in features.

Analytics & Reporting:

• Internal AWS Dashboards: Likely custom tools for tracking service usage, customer adoption, and performance metrics.

• Data Analysis Tools: Potentially SQL, Tableau, or internal AWS analytics services for synthesizing user data.

• A/B Testing Frameworks: For validating design hypotheses with data.

CRM & Automation:

• While not a direct CRM role, understanding how user feedback and product usage data feed into product development and customer engagement strategies is beneficial.

📝 Enhancement Note: Proficiency in Figma is almost a given for modern UX roles, especially at large tech companies. Given the AWS context, familiarity with cloud service platforms and an understanding of how design integrates with engineering workflows and data analytics is crucial.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deeply understanding and advocating for the needs of developers using AWS AI services.

• Ownership: Taking responsibility for the end-to-end design of features and driving them to completion.

• Invent and Simplify: Finding innovative solutions to complex technical challenges and making them accessible to users.

• Dive Deep: Willingness to understand the intricate technical details of AI models and inference processes.

• Bias for Action: Moving quickly, iterating, and delivering results in a fast-paced environment.

• Deliver Results: Focusing on the impact of designs on customer adoption and business goals.

Collaboration Style:

• Highly collaborative, working closely with Product Managers and Engineers.

• Emphasis on constructive feedback through regular design critiques and pairing sessions.

• Cross-functional teamwork is essential, bridging the gap between technical capabilities and user needs.

• Open communication and transparency are valued.

📝 Enhancement Note: Amazon's Leadership Principles are central to its culture. Candidates should be prepared to demonstrate how they embody these principles in their design work and team interactions. The "fast-moving" and "highly technical" nature of the team suggests a need for proactive, results-oriented collaboration.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of AI/ML: Designing intuitive interfaces for cutting-edge, complex generative AI models and their underlying technical processes.

• Balancing User Needs: Meeting the diverse needs of a wide range of developers, from those new to AI to experienced ML practitioners.

• Pace of Innovation: Keeping up with the rapid advancements in AI technology and translating them into user-friendly features quickly.

• Cross-Functional Alignment: Ensuring consistent design vision and execution across multiple engineering teams and product stakeholders.

• Data Interpretation: Effectively leveraging complex usage data and research findings to drive design decisions.

Learning & Development Opportunities:

• Deep Dive into AI/ML: Gain unparalleled experience in the rapidly evolving field of generative AI and its applications.

• Cloud Platform Expertise: Develop a strong understanding of AWS infrastructure and services.

• Advanced Design Skills: Hone skills in complex system design, information architecture for technical products, and AI-assisted design workflows.

• Mentorship: Learn from experienced designers and engineers within a leading cloud provider.

• Career Progression: Clear paths to Senior UX Designer roles, design leadership, or specialization in AI/ML design.

📝 Enhancement Note: The challenges presented are directly tied to the cutting-edge nature of AI services and the scale of AWS. Successfully navigating these challenges offers significant opportunities for professional growth and skill development in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to design for a highly technical audience. What were the key challenges and how did you address them?" (Focus on user research, technical understanding, and simplification)

• "Walk me through a project where you had to balance competing stakeholder requirements. How did you ensure the user's needs were met?" (Focus on negotiation, prioritization, and user advocacy)

• "How would you approach designing a dashboard for developers to monitor AI model inference usage and costs?" (Focus on information hierarchy, data visualization, and actionable insights) Company & Culture Questions:

• "Why are you interested in working on AI Services at AWS, specifically Amazon Bedrock?" (Showcase understanding of AWS strategy, AI market, and the company's customer obsession)

• "How do you embody Amazon's Leadership Principles, such as 'Dive Deep' or 'Invent and Simplify,' in your design work?" (Prepare specific examples)

• "Describe your experience working in a fast-paced, iterative environment. How do you manage your time and priorities?" (Highlight adaptability and results-orientation) Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of the project and your role, then dive into the problem, your process (research, ideation, iteration), key design decisions, and finally, the outcomes and impact.

• Visuals: Use clear, high-quality mockups, wireframes, and user flows. Annotate key design choices.

• Storytelling: Weave a narrative that highlights your problem-solving skills and user empathy.

• Quantify Impact: Whenever possible, use data (e.g., usability test results, adoption metrics, efficiency gains) to demonstrate the success of your designs.

• Be Prepared for Questions: Anticipate questions about your decision-making, challenges, and alternative approaches.

📝 Enhancement Note: Amazon interviews are known for their depth and focus on behavioral examples linked to Leadership Principles. For a UX role, demonstrating a robust design process, technical understanding, and the ability to simplify complex problems will be critical.

📌 Application Steps

To apply for this UX Designer position:

• Submit your application through the Amazon Jobs portal, ensuring your resume and portfolio link are up-to-date and easily accessible.

• Customize your resume and portfolio: Tailor your application materials to highlight experience with complex technical products, developer tools, AI/ML concepts, and user-centered design methodologies.

• Prepare your portfolio walkthrough: Select 2-3 of your strongest projects that best demonstrate your skills for this specific role and practice presenting them clearly and concisely, focusing on your process and impact.

• Research Amazon's Leadership Principles: Understand each principle and prepare specific behavioral examples from your career that illustrate how you embody them. Familiarize yourself with Amazon Bedrock and AWS AI Services to show genuine interest and understanding.

• Practice mock interviews: Conduct practice sessions focusing on design problem-solving, portfolio presentation, and behavioral questions to build confidence and refine your responses.

⚠️ 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.