UX Creative Director, AI Systems, StoreGen
📍 Job Overview
Job Title: UX Creative Director, AI Systems, StoreGen
Company: Amazon
Location: Seattle, Washington, United States
Job Type: Full-time
Category: Creative Direction & UX Design
Date Posted: October 14, 2025
Experience Level: 10+ Years
Remote Status: On-site
🚀 Role Summary
-
Lead the creative direction and UX design for cutting-edge Generative AI systems and tools used by Amazon builders.
-
Translate complex, frontier AI concepts into intuitive user experiences, prototypes, and clear visual artifacts.
-
Drive innovation by closely collaborating with applied science and engineering teams to shape the future of AI-native development tools.
-
Shape how thousands of Amazon engineers interact with AI in their daily workflows, influencing adoption speed and overall experience.
-
Develop and maintain visual systems for AI assistants and agents, including interaction models, motion design, and user guidance.
📝 Enhancement Note: This role is positioned within a specialized Generative AI team at Amazon, focusing on internal developer tools. The "StoreGen" designation suggests a focus on generative AI for store-related functionalities or building internal tools for store management. The emphasis on "builders" and "engineers" clearly indicates a B2B, internal-facing product. The core function is to bridge the gap between advanced AI capabilities (LLMs, agents) and practical, usable design for software development workflows.
📈 Primary Responsibilities
-
Define and champion the creative vision for AI-powered user experiences across all stages, from concept ideation to internal product launches.
-
Conceptualize and bring to life novel interactions and visual designs that effectively demonstrate the potential of AI in development workflows.
-
Transform abstract and emerging AI concepts into tangible design artifacts, including storyboards, animatics, and interactive prototypes.
-
Establish robust visual systems for AI assistants and agents, encompassing interaction paradigms, motion design principles, state management, and clear user guidance.
-
Enhance the polish and structure of AI tool demonstrations to facilitate accurate evaluation and effective communication of ideas to stakeholders.
-
Contribute to internal knowledge sharing and understanding of optimal human-AI collaboration strategies within software development contexts.
-
Collaborate with applied scientists and engineers to rapidly prototype and iterate on AI-driven UX concepts, leveraging live systems.
-
Ship iterative proofs of concept, progressively refining them into durable and scalable design patterns.
📝 Enhancement Note: The responsibilities highlight a blend of strategic creative leadership and hands-on design execution. The emphasis on "ground-floor influence," "tight loop with applied science and engineering," and "shipping scrappy proofs" indicates a fast-paced, innovative environment where rapid iteration and direct impact are key. The role requires translating highly technical and experimental AI concepts into understandable and actionable design systems.
🎓 Skills & Qualifications
Education: While not explicitly stated, a Bachelor's or Master's degree in Interaction Design, Human-Computer Interaction (HCI), Graphic Design, or a related field is typically expected for a Creative Director role of this seniority.
Experience: 8+ years of progressive experience in UX design, with a significant portion focused on creative direction and leading design initiatives.
Required Skills:
-
Proven track record in setting creative direction for complex digital products and systems.
-
Extensive experience with design tools such as Photoshop, Illustrator, and InDesign.
-
Proficiency in prototyping using HTML, JavaScript, and CSS, with an understanding of Ajax for dynamic interactions.
-
Demonstrated ability to translate abstract concepts into clear, compelling visual artifacts (storyboards, animatics, wireframes, prototypes).
-
Experience designing for complex workflows and user journeys.
-
Strong understanding of interaction design principles, visual systems, and motion design.
-
Excellent communication, presentation, and storytelling skills, capable of articulating design vision to technical and non-technical audiences.
Preferred Skills:
-
Experience applying Agile methodologies, specifically Scrum, to visual or UX design processes.
-
Familiarity with Generative AI concepts, LLMs, and agentic AI systems.
-
Experience in designing for developer tools or internal productivity applications.
-
Ability to prototype and innovate directly with live AI systems.
-
Experience in fostering a culture of experimentation and innovative thinking within design teams.
📝 Enhancement Note: The "Basic Qualifications" list specific technical design and prototyping tools, which are standard for senior UX roles. The "Preferred Qualifications" point towards a specific interest in Agile workflows and complex workflow design, directly aligning with the nature of developing internal tools and potentially supporting the "AI Systems" aspect of the job. The 10+ years of experience inferred from the "8+ years of design experience" and the "Creative Director" title suggests a senior-level position.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
-
A curated online portfolio that clearly demonstrates your creative direction capabilities and impact on AI-driven user experiences.
-
Case studies showcasing your process from problem identification through ideation, design, prototyping, and implementation, with a focus on AI systems.
-
Examples of complex workflow designs and how you simplified them for user efficiency and adoption.
-
Visual systems design examples, including interaction models, motion studies, and user guidance for AI agents or assistants.
-
Prototypes (interactive or video) demonstrating novel AI interactions and user flows.
Process Documentation:
-
Showcase your approach to translating frontier AI concepts into tangible design artifacts like storyboards and animatics.
-
Demonstrate how you have applied design thinking to fast-paced, experimental environments, including the development of "scrappy proofs" and their evolution into durable patterns.
-
Illustrate your methodology for defining and maintaining visual systems for AI-powered interfaces, including interaction models, motion, and states.
-
Provide examples of how you add polish and structure to demos to facilitate clearer evaluation of ideas.
📝 Enhancement Note: For a Creative Director role, especially in a novel field like AI systems, the portfolio needs to go beyond just polished final designs. It should articulate the strategic thinking, problem-solving approach, and the ability to navigate ambiguity. Demonstrating a process for iterating on experimental AI concepts and translating them into usable systems is crucial.
💵 Compensation & Benefits
Salary Range: $127,100 - $211,600 per year (USD)
Benefits:
-
Medical: Comprehensive health insurance plans.
-
Financial: Access to financial planning resources and potential retirement savings plans.
-
Equity: Potential for stock options or Restricted Stock Units (RSUs), depending on the specific role and company performance.
-
Sign-On Payments: May be offered as part of the total compensation package.
-
Full range of other benefits, including potential for professional development, employee discounts, and more, as detailed on the Amazon benefits portal.
Working Hours: The standard full-time workweek is typically 40 hours. However, given the nature of a "ground-floor" and "fast-paced" role, flexibility and occasional extended hours may be expected to meet project deadlines and drive innovation.
📝 Enhancement Note: The provided salary range is explicit and covers a broad spectrum, reflecting Amazon's practice of adjusting compensation based on geographic market. Seattle is a high-cost-of-living area, so the higher end of the range is more likely for this location. The benefits listed are standard for large tech companies, with equity and sign-on bonuses being common for senior roles.
🎯 Team & Company Context
🏢 Company Culture
Industry: E-commerce, Cloud Computing, Artificial Intelligence, Consumer Electronics, Digital Streaming, Software Development. Amazon operates across a vast spectrum of industries, with a strong focus on innovation and customer obsession.
Company Size: Amazon is a massive global corporation, employing over 1.5 million people worldwide. This scale offers unparalleled resources and opportunities but also requires navigating a complex organizational structure.
Founded: 1994 by Jeff Bezos. Amazon has a long history of disruptive innovation, starting as an online bookseller and evolving into a global technology powerhouse.
Team Structure:
-
The "Generative AI focus team" is likely a specialized, cross-functional group within Amazon's broader engineering and product development organization.
-
It will comprise applied scientists, AI/ML engineers, UX designers, product managers, and potentially program managers.
-
Reporting structure will likely involve a senior leadership role within AI or a specific product division, with the Creative Director owning the UX vision and strategy for the team's output.
Methodology:
-
Data-Driven Decision Making: Amazon emphasizes data analysis to inform product development and user experience improvements.
-
Customer Obsession: All teams are driven by understanding and exceeding customer (in this case, internal builders') needs.
-
Experimentation & Innovation: A strong culture of testing new ideas, embracing failure as a learning opportunity, and pushing technological boundaries is prevalent.
-
Agile & Iterative Development: The description mentions "shipping scrappy proofs" and "tight loop," indicating an iterative approach to product development, likely incorporating Agile principles.
Company Website: https://www.amazon.com
📝 Enhancement Note: Amazon's culture is known for its intensity, data-driven approach, and emphasis on innovation. For a role focused on AI systems, this means working with cutting-edge technology, rapid iteration cycles, and a high degree of accountability. The "StoreGen" team is likely a forward-thinking initiative within a larger division, offering both the resources of a large company and the agility of a smaller, focused team.
📈 Career & Growth Analysis
Operations Career Level: This role is senior-level, likely equivalent to a Director or Principal level in many organizations. It involves strategic leadership in a specialized domain (AI UX) and significant influence over how internal tooling is developed and adopted. The "Creative Director" title implies significant autonomy and responsibility for the aesthetic and functional vision of AI systems.
Reporting Structure: The Creative Director will likely report to a Director or VP of Product/Engineering within the AI or Developer Tools division. They will lead the UX design efforts for their specific AI systems team and collaborate closely with counterparts in engineering, applied science, and product management.
Operations Impact: The impact is substantial:
-
Developer Productivity: Directly influences how thousands of Amazon engineers design, build, and ship products, potentially leading to significant gains in efficiency and speed to market.
-
AI Adoption: Shapes the user experience of AI tools, which is critical for their successful adoption and integration into Amazon's development culture.
-
Innovation Culture: Contributes to Amazon's reputation as an innovator by developing and showcasing cutting-edge AI-powered tools.
-
User Experience Standards: Sets new benchmarks for AI-assisted UX within Amazon's internal ecosystem.
Growth Opportunities:
-
Leadership Expansion: Potential to grow into a larger design leadership role overseeing multiple AI product areas or teams.
-
Specialization Deepening: Become a recognized expert in AI UX design and generative AI applications within a leading tech company.
-
Cross-Functional Leadership: Opportunity to influence broader product strategy and development processes across Amazon.
-
Mentorship: Guide and mentor junior designers and contribute to the development of Amazon's design talent pool.
📝 Enhancement Note: This role offers a unique opportunity to be at the forefront of AI integration into software development. Growth will likely come from expanding the scope of influence, deepening expertise in AI UX, and potentially moving into broader leadership positions within Amazon's design or AI organizations. The focus on internal tools means the impact is measured by developer productivity and the successful adoption of new technologies within the company.
🌐 Work Environment
Office Type: This is an on-site role in Seattle, Washington. Amazon typically offers modern office spaces designed for collaboration, with amenities to support employee well-being and productivity.
Office Location(s): Seattle, Washington, United States. Amazon has a significant presence in Seattle, with multiple office campuses.
Workspace Context:
-
Collaborative Spaces: Offices are equipped with meeting rooms, huddle spaces, and open areas designed to facilitate brainstorming and cross-functional collaboration with engineers, scientists, and product managers.
-
Tools & Technology: Access to Amazon's extensive internal software, hardware, and cloud infrastructure, including advanced AI development platforms and design tools.
-
Team Interaction: Frequent opportunities for direct interaction with team members, stakeholders, and potentially other design professionals within Amazon, fostering a dynamic and engaged work environment.
Work Schedule: While the standard is 40 hours per week, the nature of working with frontier AI and rapid prototyping often means a dynamic schedule. Flexibility to adapt to project needs and tight deadlines is expected, but Amazon also generally supports work-life balance through various programs and policies.
📝 Enhancement Note: The on-site requirement in Seattle suggests a highly collaborative and iterative work model. Being embedded with engineering and science teams is critical for success in this role, enabling rapid feedback loops and co-creation of AI systems.
📄 Application & Portfolio Review Process
Interview Process:
-
Initial Screening: Recruiter or hiring manager call to assess basic qualifications, experience, and alignment with the role.
-
Portfolio Review & Presentation: A dedicated session where candidates present their online portfolio, focusing on 2-3 key projects that demonstrate creative direction, AI/complex workflow design, and impact. This is likely a deep dive into their design process, problem-solving approach, and ability to articulate vision.
-
Hiring Manager Interview: Discussion focused on leadership style, strategic thinking, experience with AI systems or complex workflows, and cultural fit.
-
Team Interviews: Meetings with potential collaborators (engineers, scientists, product managers) to assess technical understanding, collaboration skills, and how the candidate would integrate into the team.
-
Bar Raiser Interview: A common Amazon practice where an experienced Amazonian from outside the hiring team assesses the candidate's alignment with Amazon's Leadership Principles and overall suitability for the company.
Portfolio Review Tips:
-
Curate Strategically: Select projects that best highlight your experience with AI, complex workflows, creative direction, and translating abstract ideas into tangible designs.
-
Tell a Story: For each project, clearly articulate the problem, your role, the design process, key decisions, challenges, and measurable impact. Emphasize innovation and how you pushed boundaries.
-
Showcase AI/Frontier Concepts: If possible, include examples of projects that involved emerging technologies or complex, multi-step processes. Highlight how you applied design thinking to such challenges.
-
Demonstrate Process: Clearly outline your methodology for ideation, prototyping, and iteration, especially in fast-paced, experimental environments.
-
Highlight Collaboration: Provide context on how you worked with engineering, science, and product teams.
Challenge Preparation:
-
Scenario-Based Questions: Be prepared for questions about how you would approach designing for specific AI features, handle conflicting design inputs, or drive consensus on a creative vision.
-
Leadership Principles: Thoroughly understand and prepare examples for Amazon's Leadership Principles. The "Bar Raiser" interview will heavily focus on these.
-
AI & UX Trends: Stay updated on the latest trends in Generative AI, AI assistants, and their implications for user experience design.
-
Amazonian Mindset: Understand Amazon's customer-centric approach and how it applies even to internal tools ("builders as customers").
📝 Enhancement Note: Amazon's interview process is rigorous and often includes a "Bar Raiser" to ensure new hires meet high standards. The portfolio presentation is a critical component, where candidates must demonstrate not only design skill but also strategic thinking, leadership potential, and alignment with Amazon's unique culture.
🛠 Tools & Technology Stack
Primary Tools:
-
Design & Prototyping: Adobe Creative Suite (Photoshop, Illustrator, InDesign), Figma, Sketch, InVision, Axure, or similar advanced prototyping tools.
-
Web Technologies: HTML, JavaScript, CSS, Ajax for interactive prototyping and understanding front-end capabilities.
-
AI/ML Platforms: Familiarity with the underlying AI/ML platforms and tools used by Amazon's applied science and engineering teams (specifics will be internal and likely proprietary, but understanding concepts is key).
Analytics & Reporting:
CRM & Automation:
- Not directly applicable in the traditional sense for this role, as it focuses on internal developer tools rather than customer-facing CRM. However, understanding workflow automation concepts is crucial for designing AI-powered tools that streamline developer tasks.
📝 Enhancement Note: The emphasis on specific design tools (Photoshop, Illustrator, InDesign) and web technologies (HTML, JavaScript, CSS, Ajax) is a direct requirement. Proficiency in advanced prototyping tools is also implied for a Creative Director role. While specific internal Amazon AI platforms are not listed, a strong conceptual understanding of AI/ML and its application in user interfaces is paramount.
👥 Team Culture & Values
Operations Values:
-
Customer Obsession: Even for internal tools, the "builders" are the customers. The team's success is measured by how well these tools empower Amazon engineers.
-
Invent and Simplify: A core Amazon principle driving the creation of novel AI systems and making complex AI interactions simple and intuitive for users.
-
Bias for Action: The emphasis on "shipping scrappy proofs" and rapid iteration reflects this value, encouraging quick decision-making and execution.
-
Ownership: Taking responsibility for the end-to-end user experience of AI systems, from concept to adoption.
-
High Standards: Striving for excellence in design, functionality, and user impact, ensuring that AI tools meet the rigorous demands of Amazon's development environment.
Collaboration Style:
-
Cross-Functional Integration: Deeply embedded collaboration with applied science, engineering, and product management is essential. Design is not a silo but an integral part of the product development lifecycle.
-
Constructive Disagreement: Amazon's culture encourages direct, open feedback and debate to find the best solutions, even if it involves challenging existing ideas.
-
Knowledge Sharing: A proactive approach to sharing insights, design patterns, and learnings about AI UX to build collective intelligence across teams.
📝 Enhancement Note: Amazon's 16 Leadership Principles are central to its culture. This role will demand embodying principles like Customer Obsession, Invent and Simplify, Bias for Action, and High Standards. The collaborative style is expected to be direct, fast-paced, and focused on achieving ambitious goals.
⚡ Challenges & Growth Opportunities
Challenges:
-
Navigating Ambiguity: Working with frontier AI technology means dealing with evolving capabilities and undefined user needs. Translating these into concrete, usable designs will be a constant challenge.
-
Rapid Iteration Cycles: The need to "ship scrappy proofs" and iterate quickly can be demanding but also offers rapid learning and impact.
-
Bridging Technical & Design Gaps: Effectively communicating complex AI concepts to designers and translating user needs back to scientists and engineers requires strong interdisciplinary communication skills.
-
Defining "Good" AI UX: Establishing best practices and standards for AI-driven user experiences in a rapidly evolving field.
-
Scalability & Adoption: Ensuring that innovative AI features are not only technically feasible but also scalable across thousands of users and genuinely adopted into daily workflows.
Learning & Development Opportunities:
-
Cutting-Edge AI Exposure: Direct involvement with the latest advancements in Generative AI and agentic systems.
-
Skill Specialization: Deepen expertise in Human-AI Interaction design and the unique challenges of designing for AI-powered tools.
-
Leadership Acumen: Develop strategic leadership skills within a large, innovative tech organization.
-
Industry Influence: Contribute to shaping the future of developer tools and AI integration at a global scale.
-
Internal Amazon Resources: Access to Amazon's extensive learning platforms, mentorship programs, and internal communities of practice.
📝 Enhancement Note: The primary challenges revolve around the novelty of the technology and the fast-paced, iterative nature of Amazon's development environment. Growth opportunities are significant, offering deep specialization in a high-demand field and leadership experience within a top-tier tech company.
💡 Interview Preparation
Strategy Questions:
-
"Describe a time you had to define a creative vision for a complex product with ambiguous requirements. How did you approach it, and what was the outcome?" (Focus on your process for translating ambiguity into actionable design.)
-
"How would you approach designing a new AI assistant for software developers that needs to integrate seamlessly into their existing workflows?" (Demonstrate understanding of developer pain points and how AI can solve them.)
Company & Culture Questions:
-
"How do you embody Amazon's 'Customer Obsession' principle when designing internal tools for developers?" (Connect developer needs to business impact.)
-
"Describe a situation where you had to 'Invent and Simplify' to solve a complex design problem." (Highlight your ability to innovate and streamline.)
Portfolio Presentation Strategy:
-
Project Selection: Choose 2-3 projects that best showcase your creative direction, AI/complex workflow experience, and impact. Prioritize projects where you led the vision and execution.
-
Narrative Arc: For each project, structure your presentation with a clear beginning (problem/opportunity), middle (your process, challenges, solutions), and end (results, impact, learnings).
-
Visual Storytelling: Use high-fidelity mockups, prototypes, storyboards, and animatics to visually communicate your design solutions and interaction concepts effectively.
-
Quantify Impact: Whenever possible, use data or qualitative feedback to demonstrate the impact of your designs on user behavior, efficiency, or business outcomes.
-
Address AI Specifics: For any AI-related projects, explain the AI's role, how you translated its capabilities into user-friendly features, and the challenges specific to AI UX.
📝 Enhancement Note: Preparing for Amazon interviews requires a deep understanding of their Leadership Principles and the ability to articulate your experience through specific STAR (Situation, Task, Action, Result) method examples. The portfolio presentation is your primary opportunity to showcase your strategic thinking and creative leadership.
📌 Application Steps
To apply for this UX Creative Director position:
-
Navigate to the Amazon Jobs website (https://www.amazon.com/jobs) and search for the job title: "UX Creative Director, AI Systems, StoreGen" or use the provided job ID if available.
-
Submit your application through the official Amazon Jobs portal. Ensure your resume is updated and tailored to highlight your experience in creative direction, AI systems, complex workflows, and relevant design tools.
-
Portfolio Preparation: Curate your online portfolio meticulously. Select case studies that best demonstrate your ability to lead creative direction, design for AI, and solve complex workflow problems. Ensure it's easily accessible and professionally presented.
-
Leadership Principles Research: Thoroughly familiarize yourself with Amazon's 16 Leadership Principles and prepare specific, STAR-method-based examples from your career that showcase how you embody these principles.
-
Interview Practice: Rehearse your portfolio presentation, focusing on clear storytelling, process explanation, and articulating your impact. Practice answering behavioral questions related to leadership, collaboration, and problem-solving, particularly in the context of AI and innovation.
-
Company & Role Research: Gain a deep understanding of Amazon's mission, its approach to AI, and the specific challenges of building internal developer tools. Consider how your skills and experience align with the "StoreGen" team's objectives.
⚠️ 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.
Application Requirements
Candidates should have 8+ years of design experience and an online portfolio. Proficiency in design tools and experience with UX design of complex workflows are preferred.