Senior UX Design Technologist

📍 Job Overview

Job Title: Senior UX Design Technologist

Company: Amazon

Location: Hyderabad, Telangana, India

Job Type: Full-Time

Category: UX Design & Technology / Design Systems

Date Posted: April 17, 2026

Experience Level: 6+ Years

Remote Status: On-site

🚀 Role Summary

• This senior-level role focuses on the strategic integration of AI-assisted design tools and agentic workflows within Amazon Business's design system, Ink.

• The position requires a deep understanding of design systems, front-end architecture, and the practical application of AI in design-to-development processes.

• Key responsibilities include evolving Figma libraries for AI compatibility, bridging communication between design, engineering, and AI platform teams, and operationalizing AI-assisted design tools to accelerate innovation while maintaining quality, accessibility, and system consistency.

• This role is pivotal in transforming experimental AI design capabilities into a scalable, system-integrated workflow that enhances customer experiences across Amazon Business.

📝 Enhancement Note: While the original listing is for a "UX Design Technologist," the core responsibilities and required skills strongly align with a specialized role within Design Operations or Design Systems Engineering, with a heavy emphasis on future-forward AI integration. The target audience for this enhanced description will be operations professionals who understand the strategic importance of bridging design and engineering through robust systems and cutting-edge technology. The role's impact on efficiency, scalability, and quality is a direct parallel to operations objectives.

📈 Primary Responsibilities

• Lead the re-architecture of Amazon Business's Ink design system Figma libraries to ensure AI-readiness, system intelligence, and compatibility with agentic-assisted design workflows.

• Define and implement best practices for structuring design assets, including component libraries and design tokens, to enable reliable consumption by downstream AI tooling and generative workflows.

• Serve as a critical liaison between UX designers, front-end engineers, and AI platform teams, ensuring seamless integration and communication across disciplines.

• Evaluate, onboard, and integrate emerging AI-assisted design tools (e.g., Figma Make, prompt-to-design workflows) into the Ink ecosystem, defining adoption criteria and guardrails.

• Ensure AI-assisted design outputs are system-compliant, accessible, and feasible for implementation in InkReact, partnering with engineers to bridge the gap between generative output and production-ready UI.

• Drive the operationalization of AI design enablement from a reactive experimental state to a proactive, supported, and integrated capability across Amazon Business.

• Accelerate the adoption of AI-assisted design by embedding system guidance directly into design tooling and workflows, reducing friction while preventing long-term system technical debt.

• Maintain and enhance the quality, consistency, accessibility, and customer trust of experiences delivered through AI-assisted design processes.

📝 Enhancement Note: The primary responsibilities have been expanded to highlight the strategic and operational aspects of integrating AI into a design system. This includes detailing the systemic thinking required for library re-architecture, the process definition for AI tools, and the cross-functional collaboration crucial for operational success, mirroring the objectives of a Revenue Operations or GTM Operations role.

🎓 Skills & Qualifications

Education:

Experience:

• Minimum of 6 years of experience in front-end technologist, engineer, or UX prototyper roles.

• Demonstrated experience in developing visually polished, engaging, and highly fluid UX prototypes.

• Proven ability to collaborate effectively with UX designers, Product Managers, and technical partners.

• Deep experience working with Figma at scale, including proficiency with component libraries, design tokens, and system architecture.

• Strong understanding of modern front-end frameworks, with a preference for React, and established design-to-code workflows.

Required Skills:

• AI-Assisted Design & Generative Workflows: Experience integrating or evaluating AI-assisted design tools, generative workflows, or agentic systems.

• Design Systems Expertise: Deep experience working with large-scale design systems (like Ink), including component libraries, design tokens, and system architecture.

• Front-End Development: Strong understanding of modern front-end frameworks (React preferred) and design-to-code workflows; coding samples in front-end programming languages are required.

• Prototyping & UX: Experience developing visually polished, engaging, and highly fluid UX prototypes.

• Figma Proficiency: Extensive, large-scale experience with Figma, including component libraries, tokens, and system architecture.

• Technical Communication: Ability to translate technical constraints into clear guidance for designers and vice versa.

• Collaboration: Proven ability to partner effectively across design, engineering, and platform teams.

• Accessibility: Familiarity with accessibility standards and building inclusive systems at scale.

• Action & Experimentation: Strong communication skills and a bias toward action and experimentation.

Preferred Skills:

• Databases & AWS: Knowledge of databases and AWS database services such as ElasticSearch, Redshift, DynamoDB.

• Machine Learning: Experience with machine learning (ML) tools and methods.

• System Architecture: Understanding of system architecture principles relevant to scalable design systems.

📝 Enhancement Note: The skills section is structured to emphasize the unique blend of design system expertise, front-end technical acumen, and emerging AI capabilities. Keywords like "AI-assisted Design," "Generative Workflows," "Design Tokens," and "Agentic Systems" are integrated to align with operations roles that focus on process automation and efficiency gains through technology.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies in AI Integration: Showcase projects where you integrated or evaluated AI-assisted design tools, generative workflows, or agentic systems, detailing the process, challenges, and outcomes.

• Design System Contribution: Provide examples of contributions to large-scale design systems, such as Ink, demonstrating expertise in component libraries, design tokens, and system architecture.

• Figma Mastery at Scale: Include examples that highlight your deep experience working with Figma, demonstrating advanced usage of component libraries, tokens, and system organization for complex projects.

• Design-to-Code Workflow: Present projects that illustrate your ability to bridge design and development, showcasing how you translated technical constraints into design guidance and vice versa, potentially including examples of prototypes or production code.

• Accessibility Implementation: Demonstrate your understanding and application of accessibility standards in system design and prototyping, showing how inclusive practices were integrated.

Process Documentation:

• AI Tool Evaluation Framework: Document the process and criteria used for evaluating, onboarding, and integrating new AI-assisted design tools, including risk assessment for system debt and quality compromise.

• Figma Library Re-architecture Strategy: Outline the strategic approach taken to re-architect Figma libraries for AI-readiness, including considerations for system intelligence and compatibility with generative workflows.

• Cross-Functional Workflow Design: Detail the processes established to ensure seamless collaboration between design, engineering, and AI platform teams, focusing on clear communication channels and feedback loops.

• System Compliance & Quality Assurance: Describe the methodologies for ensuring AI-generated outputs adhere to design system compliance, accessibility standards, and production-ready requirements.

📝 Enhancement Note: This section is tailored to operations professionals by framing the portfolio requirements around process, system integration, and measurable outcomes. It emphasizes the documentation and strategic planning aspects crucial for operations roles, particularly in managing complex technology implementations and cross-functional workflows.

💵 Compensation & Benefits

Salary Range:

• Estimated Range: ₹20,00,000 - ₹40,00,000 per annum (India)

• Methodology: This estimate is based on research for Senior UX Design Technologist roles in Hyderabad, India, with 6+ years of experience, considering the tech industry's compensation standards and the specialized nature of AI integration and design systems. Factors such as Amazon's compensation structure, the specific demands of the role, and the cost of living in Hyderabad have been taken into account.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and eligible dependents.

• Retirement Savings Plan: Access to a provident fund or similar retirement savings scheme, with potential company matching.

• Paid Time Off: Generous vacation days, sick leave, and public holidays to support work-life balance.

• Employee Stock Options/Awards: Potential for stock grants or options as part of the compensation package, reflecting Amazon's employee ownership culture.

• Professional Development: Opportunities for training, certifications, and attending industry conferences to enhance skills in AI, design systems, and front-end technologies.

• Disability Accommodation: Support and resources available for employees with disabilities during the application and employment process.

• Employee Discounts: Access to discounts on Amazon products and services.

Working Hours:

• Typically 40 hours per week, with flexibility to accommodate project deadlines and cross-functional team needs. Standard business hours in the India Standard Time (IST) zone are expected.

📝 Enhancement Note: Salary is estimated based on Indian market rates for senior tech roles, considering Amazon's typical compensation structure. Benefits are listed to reflect industry standards and common offerings for large tech companies, emphasizing aspects relevant to professional growth and well-being, which are key considerations for operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: E-commerce, Cloud Computing, Digital Retail, Artificial Intelligence

Company Size: Over 1 million employees globally (as of recent reports). This large scale implies robust processes, extensive resources, and significant opportunities for impact within specialized teams.

Founded: 1994. Amazon's long history signifies stability, continuous innovation, and a deeply ingrained customer-centric philosophy that permeates all its operations.

Team Structure:

• Ink Design System Team: This team is likely composed of specialized roles including UX Designers, Front-End Engineers, Design Technologists, and potentially UX Researchers, all focused on building and maintaining the Ink design system.

• Reporting Structure: The Senior UX Design Technologist will likely report to a Design Lead, Engineering Manager, or a Director overseeing Design Systems and AI initiatives within Amazon Business.

• Cross-Functional Collaboration: This role demands deep collaboration with product management, AI platform teams, front-end engineering teams across various Amazon Business product lines, and potentially legal/accessibility review teams.

Methodology:

• Data-Driven Design: Amazon's culture emphasizes data analysis and A/B testing to inform design decisions and measure the impact of changes, including those related to AI-assisted workflows.

• Customer Obsession: All operations and design efforts are fundamentally driven by understanding and meeting customer needs, particularly the unique procurement and business goals of Amazon Business customers.

• Bias for Action & Experimentation: A culture that encourages rapid experimentation and iteration, especially in emerging fields like AI, to quickly learn and adapt.

• Frugality & Efficiency: A core Amazon leadership principle that drives teams to find innovative, cost-effective solutions and optimize processes for maximum efficiency.

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

📝 Enhancement Note: The company context is framed to highlight how Amazon's scale, foundational principles, and industry focus directly influence the operational environment and the expectations for a role like this. The emphasis on data, customer obsession, and efficiency resonates strongly with operations professionals.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor. This role is positioned as a senior technical expert within the design and engineering ecosystem, responsible for driving strategic initiatives. It requires deep technical skill, system-level thinking, and the ability to influence without direct authority.

Reporting Structure: The individual will likely report to a manager or lead responsible for design systems, front-end architecture, or AI integration within Amazon Business. Collaboration will extend across multiple product teams and engineering groups.

Operations Impact: The role's impact is significant, directly influencing the efficiency and scalability of the design-to-development process for Amazon Business. By operationalizing AI-assisted design, this role aims to reduce development cycles, improve design consistency, enhance accessibility, and ultimately accelerate the delivery of high-quality customer experiences, directly contributing to business velocity and customer satisfaction.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-assisted design, generative AI, design system architecture, and advanced front-end development, potentially leading to Principal or Staff-level technologist roles.

• Leadership & Influence: Transition into technical leadership roles, managing teams or driving technical strategy for larger initiatives within Amazon Business or other Amazon divisions.

• Cross-Domain Exposure: Gain exposure to various Amazon business units and their unique operational and design challenges, broadening understanding and impact.

• Mentorship: Mentor junior designers and engineers, sharing expertise in design systems, AI tooling, and front-end development best practices.

• Industry Recognition: Contribute to industry standards and best practices in AI-assisted design and design systems through internal and external presentations or publications.

📝 Enhancement Note: This analysis focuses on how the role fits into a broader career trajectory within a large tech organization, emphasizing the "operations" aspect of career development – structured growth, influence, and impact on business outcomes.

🌐 Work Environment

Office Type: On-site role within Amazon's Hyderabad office. This implies a structured, collaborative office environment designed to foster teamwork and innovation.

Office Location(s): Hyderabad, Telangana, India. Amazon has a significant presence in Hyderabad, offering modern facilities and a vibrant tech ecosystem.

Workspace Context:

• Collaborative Spaces: Access to meeting rooms, project spaces, and informal areas designed for brainstorming and cross-functional discussions.

• Technology & Tools: Equipped with high-performance workstations, access to Amazon's internal technology stack, and the necessary software for advanced design and development work.

• Team Interaction: Opportunities for regular face-to-face interaction with designers, engineers, and AI specialists, fostering a dynamic and responsive work environment.

• Innovation Hub: The environment is likely geared towards fostering innovation, with access to resources for experimentation and development in cutting-edge areas like AI.

Work Schedule: Standard full-time hours (typically 40 hours per week) with the expectation of flexibility to meet project demands. This schedule allows for dedicated time for deep work, collaboration, and process refinement.

📝 Enhancement Note: The work environment description is framed from an operational perspective, highlighting how the physical and technological setup supports efficient workflows, collaboration, and innovation, which are critical for operations professionals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application, focusing on your resume and portfolio to assess alignment with the basic and preferred qualifications.

• Technical Phone Screen: A conversation with a designer or engineer to discuss your experience, technical skills, and approach to design systems, AI tooling, and front-end development.

Expect questions on your portfolio.

• On-site/Virtual Loop: A series of interviews (typically 4-6 sessions) with various stakeholders, including:

  • Design System Deep Dive: Assess your expertise in design systems, component architecture, tokens, and Figma at scale.
  • Front-End Architecture & AI Integration: Evaluate your understanding of front-end frameworks (React), design-to-code workflows, and experience with AI-assisted design tools.
  • Problem-Solving & Case Study: You may be given a design or technical challenge to solve, requiring you to articulate your thought process, design decisions, and proposed solutions.
  • Behavioral & Leadership Questions: Questions focusing on collaboration, handling conflict, influencing others, and demonstrating Amazon's Leadership Principles.

• Hiring Manager Interview: A final discussion to assess overall fit, career aspirations, and alignment with the team's strategic goals.

Portfolio Review Tips:

• Showcase AI Integration: Clearly present projects demonstrating your experience with AI-assisted design tools, generative workflows, or agentic systems. Explain the problem, your role, the solution, and the measurable impact.

• Highlight Design System Contributions: Detail your work on large-scale design systems, emphasizing your contributions to component libraries, token architecture, and system scalability. Use clear visuals and concise explanations.

• Demonstrate Figma Mastery: Provide specific examples of how you've leveraged Figma for complex projects, including your approach to component organization, variants, and system architecture.

• Illustrate Design-to-Code Proficiency: Include examples that bridge design and development. Explain your process for translating designs into functional prototypes or code, and how you manage technical constraints.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your projects – e.g., efficiency gains from AI tools, adoption rates of design system components, reduction in development time, or improvements in accessibility scores.

• Tell a Story: Structure your portfolio case studies to tell a compelling story: the challenge, your approach, the solution, and the results.

Challenge Preparation:

• Understand Amazon's Leadership Principles: Prepare examples demonstrating how you embody principles like Customer Obsession, Bias for Action, Ownership, and Dive Deep.

• Practice Design System Scenarios: Be ready to discuss how you would evolve a design system for AI integration, handle component requests, or resolve conflicts between design and engineering.

• Articulate AI Tool Integration Strategy: Prepare to discuss how you would evaluate, implement, and operationalize new AI design tools, considering risks, benefits, and system impact.

• Review Front-End Concepts: Refresh your knowledge of React, component-based architecture, and design-to-code principles.

📝 Enhancement Note: This section provides a strategic guide for operations professionals by detailing the interview process with an emphasis on how to present their experience and skills in a way that highlights process-oriented thinking, strategic implementation, and measurable impact, mirroring operational competencies.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for design, prototyping, and managing design system assets at scale. Proficiency with advanced features like component libraries, variants, auto-layout, and design tokens is critical.

• Prototyping Tools: Experience with tools for creating visually polished, engaging, and highly fluid UX prototypes.

• Front-end Frameworks: Deep understanding of modern front-end frameworks, with a strong emphasis on React.

• Design System Platforms: Familiarity with building and maintaining large-scale design systems (e.g., Ink).

Analytics & Reporting:

• Data Analysis Tools: While not explicitly listed, proficiency with tools for analyzing design system usage, prototype performance, and the impact of AI integrations would be beneficial.

• Reporting Dashboards: Experience creating or interpreting dashboards that track key design and development metrics.

CRM & Automation:

• AI-Assisted Design Tools: Experience with or ability to evaluate and integrate tools such as Figma Make, prompt-to-design workflows, and other generative AI platforms relevant to design.

• Version Control Systems: Proficiency with Git and related platforms (e.g., GitHub, Bitbucket) for code management and collaboration.

Preferred/Related Technologies:

• AWS Services: ElasticSearch, Redshift, DynamoDB.

• Machine Learning (ML) Tools & Methods: Understanding of ML concepts and their application in design or development workflows.

📝 Enhancement Note: This section is crucial for operations candidates, as it clearly outlines the technical stack. The emphasis on tools like Figma, React, and AI platforms, along with the underlying principles of system integration and data analysis, aligns directly with the technical proficiencies sought in operations roles focused on GTM technology enablement.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A fundamental principle at Amazon, driving every decision to ensure the best possible experience for business customers. This means understanding their procurement needs and operational challenges.

• Bias for Action: A proactive approach to problem-solving and innovation, encouraging rapid experimentation and iteration to drive progress, especially in adopting new AI technologies.

• Ownership: Taking responsibility for projects and outcomes, from initial concept through to implementation and ongoing maintenance, ensuring quality and system integrity.

• Invent and Simplify: Constantly seeking new ways to improve processes, tools, and workflows, particularly in leveraging AI to make design and development more efficient and effective.

• Dive Deep: A commitment to understanding complex problems thoroughly, analyzing data, and ensuring that solutions are robust, scalable, and well-integrated into the existing system architecture.

Collaboration Style:

• Cross-Functional Integration: A highly collaborative environment where designers, engineers, and AI specialists work together closely, sharing knowledge and feedback to achieve common goals.

• System-Centric Approach: Emphasis on building and maintaining cohesive systems (like Ink) that ensure consistency and quality across all product experiences.

• Data-Informed Decision Making: Collaboration is guided by data and objective analysis to ensure that decisions are sound and lead to measurable improvements.

• Open Communication: Encouraging direct, honest feedback and open dialogue to resolve issues quickly and foster continuous improvement.

📝 Enhancement Note: The culture and values section is interpreted through the lens of operations, highlighting how Amazon's core principles translate into actionable behaviors and collaborative practices that are essential for successful GTM and RevOps environments.

⚡ Challenges & Growth Opportunities

Challenges:

• Scaling AI Integration: Operationalizing AI-assisted design tools across a large organization like Amazon Business, ensuring consistency, quality, and accessibility while managing technical debt.

• Bridging AI Generative Outputs to Production: Ensuring that AI-generated design outputs are system-compliant, feasible for engineering, and meet high standards of quality and accessibility.

• Evolving Design Systems for AI: Re-architecting complex Figma libraries and design tokens to be "AI-ready" and intelligently consumable by new generative technologies.

• Balancing Innovation with System Integrity: Accelerating adoption of new AI tools and workflows without compromising the robustness, consistency, or long-term maintainability of the Ink design system.

• Cross-Functional Alignment: Ensuring seamless collaboration and clear communication between design, engineering, and AI platform teams, who may have different priorities and technical languages.

Learning & Development Opportunities:

• Cutting-Edge AI in Design: Direct involvement in shaping the future of AI-assisted design and generative workflows within a major tech company.

• System Architecture Mastery: Deepen expertise in building and scaling complex design systems and front-end architectures.

• Industry Best Practices: Contribute to and learn from best practices in design systems, accessibility, and AI integration at a global scale.

• Professional Certifications & Training: Opportunities to pursue relevant certifications or advanced training in AI, front-end development, or cloud technologies.

• Mentorship & Leadership: Opportunities to mentor junior team members and potentially grow into leadership roles within design systems or AI initiatives.

📝 Enhancement Note: Challenges are framed as opportunities for operational improvement and strategic problem-solving, which are key drivers for operations professionals. Growth opportunities are detailed to show a clear career path within the operations domain of technology and design.

💡 Interview Preparation

Strategy Questions:

• Design System Evolution for AI: "How would you approach re-architecting a large-scale design system's Figma libraries to be AI-ready? What are the key considerations for component structure, tokens, and system intelligence?" (Focus on structured approach, scalability, and AI compatibility.)

• Operationalizing AI Tools: "Describe your process for evaluating, onboarding, and integrating AI-assisted design tools like prompt-to-design workflows into an existing design system. What are the critical guardrails and success metrics?" (Emphasize process, risk management, and measurable outcomes.)

• Bridging Design and Engineering with AI: "How do you ensure that AI-generated design outputs are system-compliant, accessible, and feasible for front-end implementation? What strategies do you use to bridge the gap between generative design and production-ready UI?" (Highlight collaboration, technical feasibility, and quality assurance.)

Company & Culture Questions:

• Amazon's Leadership Principles: Be prepared with specific examples demonstrating how you embody Customer Obsession, Bias for Action, Ownership, Invent and Simplify, and Dive Deep in your past roles.

• Working in a Large Tech Environment: Discuss your experience working with large, cross-functional teams and navigating complex organizational structures.

• Impact of AI on Design Quality: How do you ensure that AI-assisted design accelerates delivery without sacrificing accessibility, consistency, or customer trust?

Portfolio Presentation Strategy:

• AI Integration Case Study: Present a project where you leveraged AI in design. Clearly articulate the problem, your specific contributions, the tools used, the challenges faced, and the quantifiable impact (e.g., efficiency gains, quality improvements).

• Design System Architecture Showcase: Walk through your contributions to a design system. Explain your approach to componentization, token management, and ensuring scalability and consistency.

• Figma to Code Workflow: Demonstrate how you've successfully translated designs into functional prototypes or code, highlighting your process for managing technical constraints and ensuring fidelity.

• Accessibility Focus: Showcase any projects where accessibility was a key consideration, explaining your approach to inclusive design and implementation.

• Storytelling for Impact: Frame your portfolio pieces as narratives that highlight your problem-solving skills, technical expertise, and ability to drive operational efficiency and quality.

📝 Enhancement Note: This section provides specific, actionable advice tailored to operations professionals, focusing on how to articulate their skills and experience in terms of process, strategy, and impact, which are key evaluation criteria in operations roles.

📌 Application Steps

To apply for this Senior UX Design Technologist position:

• Submit Your Application: Utilize the provided link on amazon.jobs to submit your resume and any requested supplemental materials.

• Portfolio Customization: Tailor your online portfolio to prominently feature projects demonstrating your experience with AI-assisted design, large-scale design systems (especially Figma), front-end development (React), and accessibility. Ensure case studies clearly articulate your process, problem-solving approach, and quantifiable impact.

• Resume Optimization: Update your resume to highlight keywords and experiences relevant to the job description, such as "AI-assisted design," "generative workflows," "design systems," "Figma," "React," "front-end architecture," and "accessibility." Quantify your achievements whenever possible.

• Interview Preparation: Practice articulating your experience with the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare to discuss your approach to technical challenges and design system evolution, drawing on specific examples from your portfolio.

• Company Research: Familiarize yourself with Amazon's Leadership Principles and Amazon Business's mission. Understand how the "Ink" design system fits into the broader company strategy and how AI integration supports business goals.

⚠️ 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.