UX Designer, AWS Applied AI Solutions

📍 Job Overview

Job Title: UX Designer, AWS Applied AI Solutions

Company: Amazon

Location: Seattle, Washington, United States

Job Type: Full-time

Category: UX/Product Design (with AI/ML focus)

Date Posted: September 15, 2026

Experience Level: Entry-level (0-2 years)

Remote Status: On-site

🚀 Role Summary

• Design and develop intuitive, human-centered user experiences for AI-native business applications within the AWS Applied AI Solutions organization.

• Translate complex Artificial Intelligence (AI) capabilities into proactive, adaptive, and trustworthy user journeys and features.

• Collaborate closely with cross-functional teams, including product managers, engineers, and AI scientists, to deliver high-quality, innovative solutions.

• Contribute to the development of scalable design patterns and the evolution of best practices for AI-driven user experiences.

• Leverage modern AI design tools and rapid prototyping environments to quickly explore, test, and refine design concepts.

📝 Enhancement Note: While the role is for a UX Designer, the emphasis on "AWS Applied AI Solutions," "AI-native business applications," and "intelligent systems" strongly indicates a focus on designing for enterprise-level AI products. This requires a deeper understanding of business workflows and the ability to integrate AI features seamlessly into complex operational tools, moving beyond consumer-facing design. The mention of "vibe coding" and "rapid prototyping" suggests a fast-paced, iterative design process common in tech environments.

📈 Primary Responsibilities

• Bring design concepts to life through a variety of mediums, including interactive prototypes, motion graphics, video, high-fidelity visuals, and emerging AI-driven design tools.

• Participate in all phases of the design and innovation lifecycle, from initial discovery and ideation to prioritization, refinement, and crafting compelling narratives for complex AI concepts.

• Engage with diverse stakeholders, including senior leadership, technical teams, product managers, and AI scientists, to align user needs with system capabilities and identify AI-enhanced opportunities.

• Navigate ambiguity by using human insights and AI-assisted exploration to generate and evaluate numerous concepts, identifying the most promising directions for further development.

• Stay abreast of evolving customer needs, industry trends, and technological advancements, particularly the expanding role of AI, to inform forward-looking design strategies.

• Synthesize vast amounts of information, including user research, product performance data, technical constraints, and system behaviors, into clear and actionable experience frameworks.

• Foster a culture of feedback and experimentation within a multidisciplinary team, while also independently driving design initiatives from initial sketches to production-ready assets.

• Communicate design direction, strategy, and outcomes persuasively through storytelling, visuals, and, when appropriate, interactive demonstrations or AI-generated simulations.

📝 Enhancement Note: The responsibilities highlight a need for a designer who can not only create aesthetically pleasing interfaces but also deeply understand and articulate the value proposition of AI in business contexts. This involves a strong ability to translate technical complexity into user-friendly solutions and to influence product direction through design strategy. The emphasis on "crafting narratives" and "storytelling" suggests the need for excellent communication skills to advocate for user needs and design solutions to a broad audience.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in UX Design, Interaction Design, Human-Computer Interaction (HCI), Graphic Design, or a related field is typically expected for this level of role within a company like Amazon.

Experience: Minimum of 1 year of professional design experience. Experience in a highly agile environment is preferred.

Required Skills:

• Demonstrated proficiency in UX design principles and methodologies.

• Proven experience in creating interactive prototypes using tools such as Figma, Adobe Creative Suite (Illustrator, Photoshop, XD), or similar industry-standard software.

• Experience conducting and interpreting usability testing sessions to gather user feedback and iterate on designs.

• Ability to translate complex ideas and AI capabilities into clear, intuitive user interfaces and workflows.

• Strong visual design skills with an eye for detail, layout, and aesthetics.

• Excellent communication and presentation skills, with the ability to articulate design decisions and rationale effectively. Preferred Skills:

• Experience designing for AI/ML-powered applications or intelligent systems.

• Familiarity with AI-driven design tools and rapid prototyping environments.

• Experience working in a highly agile development environment, collaborating closely with product managers and engineers.

• Ability to work independently and collaboratively within a multidisciplinary team.

• Experience with motion design or video prototyping to convey complex interactions.

• Understanding of business application design patterns and enterprise software user experience.

📝 Enhancement Note: The "Basic Qualifications" are quite lean, indicating a strong emphasis on portfolio and practical skills over extensive experience. For candidates with 1-2 years of experience, demonstrating a solid foundation in core UX skills and an aptitude for learning new technologies (especially AI) will be crucial. The preference for agile experience and multidisciplinary collaboration points to a need for adaptability and teamwork.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive online portfolio showcasing a minimum of 3-5 distinct design projects.

• Projects should demonstrate end-to-end UX design process, including problem definition, user research, ideation, wireframing, prototyping, and final visual design.

• For AI-related projects, clearly articulate the role of AI and how it was integrated into the user experience.

• Showcase expertise with design tools such as Figma, Adobe Creative Cloud, or similar, with examples of complex prototyping or interactive elements.

• Include evidence of usability testing and how user feedback informed design iterations and improvements. Process Documentation:

• For each project, detail the design methodology employed (e.g., user-centered design, agile UX, design thinking).

• Document the challenges faced, the design decisions made, and the rationale behind them, particularly when dealing with technical constraints or complex AI functionalities.

• Present metrics or outcomes where possible, demonstrating the impact of the design solutions (e.g., improved task completion rates, user satisfaction scores, efficiency gains).

• Showcase the ability to collaborate with engineering and product teams, providing examples of how designs were handed off and implemented.

📝 Enhancement Note: Given the role's focus on AI and enterprise applications, the portfolio should ideally include projects that address business workflows, data visualization, or complex system interactions. The ability to demonstrate how AI features were designed to enhance productivity or solve specific business problems will be highly valued. Explicitly showing a structured design process and iterative improvements based on feedback is critical.

💵 Compensation & Benefits

Salary Range: The base salary range for this position in Seattle, Washington, is $81,000 - $141,700 USD annually. This range is determined by factors such as experience, qualifications, and location.

Benefits:

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

• Prescription insurance and access to a Medical Advice Line.

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

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

• 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) and parental leave.

• Sign-on payments and Restricted Stock Units (RSUs) as part of the total compensation package.

Working Hours: The standard working hours are 40 hours per week, typical for a full-time role. While the role is on-site, Amazon often fosters flexibility within teams, though specific arrangements would be discussed during the hiring process.

📝 Enhancement Note: The provided salary range is standard for a UX Designer role in a major tech hub like Seattle, with the lower end reflecting entry-level experience and the higher end reflecting candidates with a few years of relevant experience and a strong portfolio. The extensive benefits package is typical for large tech companies like Amazon, emphasizing holistic employee well-being and long-term financial security. The mention of RSUs and sign-on bonuses indicates a competitive total compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Cloud Computing, Artificial Intelligence, Business Applications. Amazon Web Services (AWS) is a leader in cloud computing, and this role is within a division focused on leveraging AI to build business applications for millions of companies worldwide. This context means a strong emphasis on scalability, reliability, and innovation.

Company Size: Amazon is a massive global corporation with hundreds of thousands of employees. The AWS Applied AI Solutions organization is a significant division within it, likely comprising hundreds or thousands of individuals across various functions.

Founded: Amazon was founded in 1994. AWS was launched in 2006. The Applied AI Solutions organization is a more recent development, reflecting Amazon's strategic focus on AI.

Team Structure:

• The UX Designer will be part of the AWS Applied AI Solutions organization, working within a multidisciplinary team.

• This team likely includes Product Managers, Software Development Engineers (SDEs), AI/ML Scientists, and potentially other UX professionals.

• The reporting structure will likely involve a UX Lead or Design Manager within the Applied AI Solutions group, with direct collaboration across functional leads.

• Cross-functional collaboration is a cornerstone of Amazon's culture, with teams working closely to achieve shared goals. Methodology:

• Data-Driven Decision Making: Heavy reliance on data, user research, and experimentation to inform design and product decisions.

• Customer Obsession: A core Amazon leadership principle, meaning understanding and prioritizing customer needs is paramount.

• Bias for Action & Iteration: Encouraging rapid prototyping, testing, and iteration to learn and improve quickly.

• Ownership: Teams are empowered to take ownership of their products and features, driving them from concept to launch.

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

📝 Enhancement Note: Amazon's culture is famously driven by its Leadership Principles. Candidates should familiarize themselves with these principles (e.g., Customer Obsession, Ownership, Bias for Action, Invent and Simplify) as they heavily influence decision-making and team interactions. The Applied AI Solutions group will likely embody these principles while also focusing on the unique challenges and opportunities of designing AI-powered enterprise tools.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an entry-level (0-2 years) UX Designer. It's an opportunity to gain foundational experience in a highly impactful area of AI and cloud computing. The scope of work will involve contributing to specific features and customer journeys under the guidance of more senior designers and product teams.

Reporting Structure: The UX Designer will report to a manager or lead within the AWS Applied AI Solutions design team. They will work closely with product managers and engineering leads on specific projects.

Operations Impact: While not a traditional "operations" role in the sense of sales or revenue ops, this UX Designer will have a significant impact on how businesses operate by designing the tools they use. By making AI capabilities accessible and intuitive, the designer will directly influence customer efficiency, decision-making, and overall business productivity. The success of these AI-powered applications hinges on their usability and effectiveness, making the UX role critical to the "operational" success of the customers.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI/ML UX, enterprise application design, or specific design disciplines like interaction or motion design.

• Career Advancement: Progress to Mid-Level UX Designer, Senior UX Designer, Principal UX Designer, or even management roles within Amazon's design organization.

• Cross-functional Learning: Gain exposure to AI/ML science, product strategy, and software engineering best practices.

• Leadership Development: Opportunities to mentor junior designers, lead design initiatives, and contribute to design system evolution.

• Broad Impact: Contribute to products used by millions of businesses globally, influencing how companies leverage AI for their operations.

📝 Enhancement Note: For an entry-level role, the growth potential at Amazon is substantial. The company invests heavily in internal development. Candidates should express a strong desire to learn and grow within the AI UX space. Highlighting an understanding of how UX directly impacts business operations and customer success will be key to demonstrating strategic thinking.

🌐 Work Environment

Office Type: This is an on-site role, meaning the designer will work from an Amazon office location, likely in Seattle. Amazon offices are typically modern, collaborative spaces designed to foster innovation and teamwork.

Office Location(s): Seattle, Washington, United States. This is a major hub for Amazon, offering a vibrant tech ecosystem and numerous amenities.

Workspace Context:

• Collaborative Environment: Expect a dynamic workspace with opportunities for spontaneous collaboration, brainstorming sessions, and team meetings. Open-plan layouts are common, interspersed with meeting rooms and private focus areas.

• Tools & Technology: Access to state-of-the-art design software, hardware, and potentially internal Amazon tools and platforms. The role specifically mentions leveraging AI design tools and rapid prototyping environments.

• Team Interaction: Regular interaction with a diverse, multidisciplinary team, including designers, product managers, engineers, and scientists, fostering a rich learning environment.

Work Schedule: The role is full-time (40 hours/week) and on-site. While core hours exist for team collaboration, Amazon often allows for some flexibility in daily schedules, provided project deadlines and team needs are met. The emphasis on "rapid prototyping" and "AI-accelerated workflows" suggests a dynamic pace that may require focused work sessions.

📝 Enhancement Note: The on-site requirement in Seattle means candidates should be prepared for a potentially fast-paced, collaborative, and highly structured work environment characteristic of Amazon. The emphasis on leveraging AI tools suggests a forward-thinking and tech-enabled workspace.

📄 Application & Portfolio Review Process

Interview Process:

• Application Submission: Submit resume and online portfolio.

• Recruiter Screen: Initial call with a recruiter to assess basic qualifications, interest, and cultural fit.

• Hiring Manager/Team Interview: Typically involves 1-2 rounds of interviews with the hiring manager and potential team members. This stage often includes a portfolio review.

• Design Challenge/Whiteboard Session: Candidates may be asked to solve a design problem, critique an existing design, or sketch out solutions to a given scenario, often involving AI concepts or business workflows. This assesses problem-solving skills and design thinking in real-time.

• Bar Raiser Interview: A specialized Amazon interview conducted by someone outside the hiring team, focused on assessing candidates against Amazon's Leadership Principles and ensuring the bar for new hires remains high.

• Final Round: May involve further discussions with senior stakeholders or a final overview.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your skills relevant to AI-driven business applications. Prioritize end-to-end process examples.

• Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges, your solutions, and the impact. Use visuals effectively.

• Highlight AI Integration: If possible, include projects where you designed for AI/ML features, explaining the user benefit and design considerations.

• Demonstrate Tool Proficiency: Be ready to discuss your use of Figma, Adobe Creative Cloud, and any AI design tools.

• Showcase Iteration: Present how user feedback or technical constraints led to design changes.

Challenge Preparation:

• Understand Amazon's Principles: Prepare to answer behavioral questions based on Amazon's Leadership Principles.

• Think Aloud: For design challenges, verbalize your thought process, assumptions, and decision-making.

• Focus on User Needs & Business Goals: Frame your solutions around solving user problems and contributing to business objectives.

• Embrace Ambiguity: Demonstrate comfort with incomplete information and the ability to make reasoned decisions.

• Prototyping Mindset: Be ready to sketch or quickly prototype concepts to illustrate ideas.

📝 Enhancement Note: Amazon's interview process is known for its rigor and focus on behavioral questions tied to their Leadership Principles. Candidates should prepare specific examples from their experience that demonstrate these principles in action, especially "Customer Obsession," "Ownership," and "Invent and Simplify." The portfolio review is a critical component, so candidates must be able to articulate their design thinking and process clearly and concisely.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable), Adobe Creative Cloud (Photoshop, Illustrator, XD), Sketch (less likely given Figma prevalence, but possible).

• Emerging AI Design Tools: Candidates are encouraged to be familiar with or curious about AI-assisted design platforms and tools for rapid concept generation and iteration.

• Collaboration Tools: Amazon internal tools for project management, communication, and documentation (e.g., Chime, Confluence, internal wikis).

Analytics & Reporting:

• While not a direct analyst role, understanding how to interpret user research data, A/B testing results, and product analytics to inform design decisions is crucial. Familiarity with tools like Amplitude, Mixpanel, or internal Amazon analytics platforms would be beneficial. CRM & Automation:

• Not directly applicable to this UX role, but an understanding of how business applications integrate with CRM systems or leverage automation for operational efficiency would be advantageous for context.

📝 Enhancement Note: Proficiency in Figma is almost a given for modern UX roles, and Amazon is no exception. The emphasis on "emerging tools including AI-driven design and prototyping platforms" suggests a desire for candidates who are forward-thinking and eager to experiment with new technologies that can accelerate the design process.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Deep understanding and empathy for the business users and their operational challenges. Designing solutions that genuinely solve problems and improve efficiency.

• Invent and Simplify: Finding innovative ways to solve complex problems, particularly those involving AI, and making them accessible and easy to use.

• Ownership: Taking full responsibility for the user experience of the features designed, from conception to delivery and beyond.

• Bias for Action: Moving quickly to explore ideas, prototype, and test, rather than getting stuck in analysis paralysis.

• High Standards: Committing to building high-quality, reliable, and impactful user experiences that meet Amazon's rigorous standards.

Collaboration Style:

• Multidisciplinary Teams: Working seamlessly with product managers, engineers, and scientists, valuing diverse perspectives.

• Feedback Culture: Openness to giving and receiving constructive feedback to improve designs and processes.

• Data-Informed: Using data and research to support design decisions and validate hypotheses.

• Iterative Process: Embracing an agile and iterative approach, where designs are continuously refined based on learning.

📝 Enhancement Note: Amazon's unique set of Leadership Principles forms the bedrock of its culture. Candidates who can demonstrate alignment with these principles through their past experiences will be highly valued. The emphasis on "inventing and simplifying" is particularly relevant for a role focused on making complex AI technologies usable for business operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Effectively translating sophisticated AI/ML capabilities into intuitive and trustworthy user experiences for business users who may not be AI experts.

• Balancing User Needs with Technical Constraints: Navigating the balance between ideal user experiences and the practical limitations of AI development and implementation.

• Working in Ambiguity: Thriving in a fast-paced environment where requirements may evolve, and new AI capabilities are constantly emerging.

• Driving Design Adoption: Ensuring that designed solutions are adopted and effectively used by target business customers.

Learning & Development Opportunities:

• AI/ML UX Specialization: Gaining deep expertise in the unique challenges and opportunities of designing for artificial intelligence.

• Enterprise Application Design: Developing skills in designing complex business software with a focus on workflow efficiency and scalability.

• Exposure to Cutting-Edge Technology: Working with advanced AI technologies and tools within a leading cloud computing environment.

• Mentorship & Skill Development: Access to senior designers and engineers for guidance and opportunities for formal training and skill enhancement.

📝 Enhancement Note: The primary challenge and opportunity lie in the cutting edge of AI UX. Candidates who are passionate about this space will find ample room to grow and make a significant impact by shaping how businesses interact with AI.

💡 Interview Preparation

Strategy Questions:

• "Tell me about a time you designed a complex feature or system. What was your process?"

  • Preparation: Focus on an end-to-end project. Clearly define the problem, your role, your UX process (research, ideation, prototyping, testing), key decisions, challenges, and outcomes. If it involved AI, highlight that.

• "How do you approach designing for users who are not experts in the technology you are building (e.g., AI)?"

  • Preparation: Emphasize user-centricity, simplification, clear communication of AI capabilities, progressive disclosure, and building trust through transparency. Discuss methods for understanding user mental models.

• "Describe a situation where you had to balance user needs with technical feasibility or business goals. How did you resolve it?"

  • Preparation: Use the STAR method (Situation, Task, Action, Result). Show your ability to negotiate, find compromises, and advocate for the user while understanding business realities. Company & Culture Questions:

• "How do Amazon's Leadership Principles resonate with your work style?"

  • Preparation: Review all 16 Leadership Principles. Prepare specific examples for 3-5 key principles like Customer Obsession, Ownership, Invent and Simplify, Bias for Action, and High Standards.

• "Why are you interested in designing for AI applications at AWS?"

  • Preparation: Express genuine interest in AI's potential to transform business operations. Connect your passion for UX with the opportunity to solve complex problems at scale.

• "How do you handle constructive criticism or feedback on your designs?"

  • Preparation: Emphasize an open, receptive attitude and a focus on using feedback to improve the design and the user experience. Portfolio Presentation Strategy:

• Start Strong: Begin with your most impactful and relevant project.

• Context is Key: Clearly state the project's goals, your role, and the target users/business context.

• Show Your Process: Walk through your design journey, highlighting key decisions and rationale. Use wireframes, mockups, and prototypes to illustrate your ideas.

• Focus on Impact: Quantify results whenever possible (e.g., "improved task completion by X%", "reduced errors by Y%"). If quantitative data isn't available, describe the qualitative improvements and user feedback.

• Be Ready for Deep Dives: Anticipate questions about specific design choices, trade-offs, and how you handled challenges.

📝 Enhancement Note: The interview process at Amazon is heavily focused on behavioral questions tied to their Leadership Principles. Candidates should prepare concrete examples using the STAR method for each principle. For the portfolio review, focus on demonstrating the why behind your design decisions and the impact of your work.

📌 Application Steps

To apply for this UX Designer position at Amazon:

• Submit your resume and a link to your online portfolio through the Amazon Jobs portal.

• Portfolio Customization: Ensure your portfolio prominently features projects demonstrating your UX process, problem-solving skills, and ideally, experience with complex applications or AI concepts. Tailor your project selection to highlight Figma proficiency and iterative design.

• Resume Optimization: Clearly articulate your 1+ years of design experience, specific skills (Figma, prototyping, usability testing), and any relevant experience with AI or enterprise applications. Quantify achievements where possible.

• Interview Preparation: Thoroughly review Amazon's Leadership Principles and prepare behavioral examples using the STAR method. Practice articulating your design process and project rationale for your portfolio presentation.

• Company Research: Familiarize yourself with AWS's mission, the Applied AI Solutions organization's goals, and Amazon's overall culture and values to demonstrate genuine interest and alignment.

⚠️ 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.