Senior AI Design Technologist, Content, Brand Technology & Applied AI

📍 Job Overview

Job Title: Senior AI Design Technologist, Content, Brand Technology & Applied AI

Company: Amazon

Location: Austin, Texas; Seattle, Washington; New York, New York; San Francisco, California

Job Type: Full-time

Category: Technology / AI / Design / Marketing Operations

Date Posted: April 14, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Drive the vision for AI-native marketing experiences by integrating AI agents and human judgment across the content lifecycle.

• Rapidly validate innovative ideas through functional prototypes, translating ambiguous problems into tangible outcomes within hours.

• Design and build agentic workflows using model APIs and orchestration frameworks, spanning user-facing and agent-to-agent interactions.

• Define the dual User Experience (UX) and Agent Experience (AX), pioneering intuitive tools for marketers and clear protocols for AI agents.

• Bridge the gap between design and engineering by creating production-aware prototypes that accelerate the shipping of AI-powered marketing solutions.

📝 Enhancement Note: This role is uniquely positioned at the intersection of AI, design, and marketing technology, requiring a blend of technical prototyping skills, strategic thinking, and a deep understanding of marketing workflows. The emphasis on rapid prototyping and defining "Agent Experience" (AX) suggests a forward-thinking approach to human-AI collaboration in a large-scale enterprise marketing environment.

📈 Primary Responsibilities

• Own and champion the AI Design Technology vision, establishing industry-leading standards for AI-native marketing content creation, management, and distribution.

• Translate complex, ambiguous marketing challenges into functional, highly fluid prototypes within compressed timelines (hours, not weeks) to accelerate decision-making and strategy validation.

• Develop and implement agentic workflows by leveraging model APIs, orchestration frameworks, and middleware to facilitate seamless interactions between human marketers and AI agents.

• Architect and design the dual user and agent experience, creating intuitive interfaces for marketers and establishing clear protocols, trust signals, and collaboration patterns for AI agents.

• Design the integrated experience layer that enables marketers to effortlessly discover, interact with, and leverage AI agents for various marketing functions, from content ideation to campaign optimization and distribution.

• Proactively identify and articulate UX opportunities, friction points, and design gaps across both the marketer and AI agent experience to inform product development and strategy.

• Facilitate efficient design-to-engineering handoff by creating production-aware prototypes, reusable components, and robust design patterns that expedite the delivery of AI-powered marketing features.

• Mentor fellow designers and engineers on cutting-edge AI-native design principles, best practices, and emerging technologies, fostering a culture of innovation within the design technology community.

📝 Enhancement Note: The responsibilities emphasize a highly proactive and innovative approach, focusing on rapid iteration and the creation of novel AI-driven marketing solutions. The expectation to "build beyond UI into agentic workflows" and "define the dual experience: user and agent" highlights the sophisticated nature of this role, extending beyond traditional UX design into the realm of AI agent interaction design.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Human-Computer Interaction, Design, or a related field is typically expected for a Senior Technologist role at Amazon.

Experience: Minimum of 6+ years of experience in front-end technology, engineering, or UX prototyping.

Required Skills:

• Demonstrated expertise in front-end development, engineering, or UX prototyping with a minimum of 6 years of experience.

• Proven ability to review user research and data to inform the strategic development of user-friendly and engaging designs.

• Extensive experience in developing visually polished, highly fluid, and engaging UX prototypes in close collaboration with UX, Product Management, and Engineering teams.

• Strong, demonstrable experience integrating AI/ML capabilities, specifically Large Language Models (LLMs), agentic AI tools, or Retrieval-Augmented Generation (RAG) patterns, into functional prototypes or web-based experiences.

Preferred Skills:

• Experience with machine learning (ML) tools and methodologies, including model training, fine-tuning, and deployment.

• Familiarity with a range of marketing tools, including email marketing platforms, web analytics suites, Customer Relationship Management (CRM) systems, and marketing automation platforms.

• Experience in designing and optimizing complex, multi-step workflows for enterprise-level applications.

• Proven ability to design for trust, transparency, and effective human-in-the-loop systems within AI-powered product experiences.

• Demonstrated thought leadership in emerging technologies, AI-driven design practices, and future trends in human-AI interaction.

📝 Enhancement Note: The "Required Skills" clearly indicate a need for hands-on technical proficiency in front-end development and advanced AI integration. The "Preferred Skills" suggest that candidates with a marketing technology background and experience in complex, AI-centric design will have a significant advantage. The emphasis on RAG patterns and agentic workflows points to a focus on practical, scalable AI applications.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a range of functional prototypes demonstrating expertise in front-end development and AI/ML integration, particularly LLMs and agentic workflows.

• Include detailed case studies of projects where user research and data were leveraged to drive strategic design decisions and improve user experience.

• Present examples of complex workflow designs, illustrating your ability to map out and prototype intricate user journeys and agent interactions.

• Highlight projects that demonstrate experience with non-deterministic interfaces, conversational logic, or state machines, showcasing your ability to handle dynamic system behaviors.

Process Documentation:

• Document the rapid prototyping process used to validate ideas, emphasizing speed and efficiency in translating concepts into functional artifacts.

• Illustrate the methodology for integrating AI/ML capabilities (LLMs, RAG, agentic AI) into prototypes, detailing API usage, orchestration frameworks, and middleware implementation.

• Outline the approach to defining and designing dual UX/AX experiences, explaining how user needs and agent protocols were balanced and integrated.

• Showcase examples of bridging design-to-engineering handoffs with production-aware prototypes, reusable components, and patterns that accelerate development.

📝 Enhancement Note: A portfolio that vividly demonstrates hands-on prototyping, AI integration (especially LLMs and agentic systems), and a clear understanding of complex workflows and human-AI interaction will be critical. The emphasis on speed and production-awareness suggests a need to showcase not just the "what" but the "how" of rapid, impactful development.

💵 Compensation & Benefits

Salary Range:

• San Francisco, California: $177,300 - $239,900 USD annually

• New York, New York: $169,600 - $229,500 USD annually

• Austin, Texas: $154,200 - $208,600 USD annually

Benefits:

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

• Prescription drug coverage.

• Basic Life & Accidental Death & Dismemberment (AD&D) insurance.

• Option for supplemental life insurance plans.

• Employee Assistance Program (EAP) for confidential support.

• Mental health support services.

• Medical Advice Line for healthcare guidance.

• Flexible Spending Accounts (FSAs) for healthcare and dependent care expenses.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) retirement plan with company matching.

• Paid Time Off (PTO).

• Parental Leave.

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

• Sign-on payments may be offered.

Working Hours: The standard working hours are 40 hours per week, with an emphasis on work-life harmony and flexible arrangements.

📝 Enhancement Note: The salary ranges provided are competitive for senior technology roles in major US tech hubs. The extensive benefits package reflects Amazon's commitment to employee well-being and financial security, with specific additions like RSUs and sign-on bonuses common for senior technical positions. The mention of flexible work hours aligns with Amazon's stated commitment to work-life harmony.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Computing / E-commerce / Technology

Company Size: Large Enterprise (Amazon is one of the largest technology companies globally, with hundreds of thousands of employees). This size implies extensive resources, complex organizational structures, and a broad impact, but also potential for specialized teams and focused innovation.

Founded: 1994. Amazon's long history signifies stability, continuous innovation, and a deep understanding of market dynamics and customer needs.

Team Structure:

• The Content, Brand Technology and Applied AI team is a specialized unit within AWS Marketing.

• It focuses on building foundational technology for content creation, management, and distribution, with a specific emphasis on AI integration.

Methodology:

• Data-Driven Innovation: The team emphasizes using data to validate ideas and drive decisions, aligning with Amazon's broader data-centric culture.

• Agile & Iterative Development: The "move fast, build with taste" mantra and focus on rapid prototyping suggest an agile methodology with a strong emphasis on iteration and user feedback.

• AI-Native Design: A core focus is integrating AI and agentic orchestration into marketing workflows, aiming to create AI-first solutions.

• Outcome-Oriented: Success is measured by adoption and user satisfaction ("what gets adopted and loved"), indicating a focus on delivering real value rather than just shipping features.

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

📝 Enhancement Note: Amazon's culture is known for its intense focus on customers, data, and operational excellence. The specific team culture described here highlights a blend of rapid innovation, technical depth in AI, and a strong design sensibility. The "AWS Marketing" context suggests a focus on B2B marketing technologies within the cloud space.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level individual contributor role, focusing on specialized technical design and prototyping within the AI and marketing technology domain. It's a "sole design technologist" position, indicating significant autonomy and ownership.

Reporting Structure: While not explicitly detailed, a Senior Technologist role like this typically reports to a Design Manager, Engineering Manager, or Product Manager within the Applied AI or Brand Technology group. The role requires close collaboration with peers in Product Management, Engineering, and Marketing.

Operations Impact: The role has a direct impact on the efficiency and effectiveness of AWS Marketing operations by building tools and systems that streamline content creation, management, and distribution. By leveraging AI, this role aims to enhance decision-making, accelerate content velocity, and ultimately improve the reach and impact of AWS marketing efforts globally.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML, LLMs, agentic systems, and advanced prototyping techniques within a cutting-edge environment.

• Leadership in AI Design: Become a recognized leader and thought leader in AI-native design and marketing technology, potentially influencing broader company strategies.

• Cross-Functional Influence: Gain experience working across various high-impact teams (Product, Engineering, Marketing) and influencing strategic decisions through tangible prototypes and compelling demonstrations.

• Mentorship: Grow leadership skills by mentoring junior designers and engineers on AI design practices.

• Career Progression: Potential pathways could lead to Principal Technologist, Design Lead, or management roles within AI, design technology, or product development at AWS.

📝 Enhancement Note: This role offers a unique opportunity for a senior technologist to pioneer new approaches in AI-driven marketing. The "sole design technologist" aspect means significant autonomy and the chance to shape the direction of AI in marketing for a major cloud provider. Growth is likely to be driven by innovation, impact, and leadership in a specialized technical field.

🌐 Work Environment

Office Type: Hybrid work environment, balancing remote flexibility with in-office collaboration.

Office Location(s): The role is open to multiple major tech hubs: San Francisco, California; New York, New York; Austin, Texas; and Seattle, Washington. This offers geographical flexibility for candidates.

Workspace Context:

• Collaborative Environment: The role demands close collaboration with Product Managers, Engineers, and other Designers, suggesting a dynamic and interactive workspace.

• Technology-Rich: As part of Amazon's Brand Technology & Applied AI team, expect access to state-of-the-art tools, platforms, and infrastructure necessary for advanced AI prototyping and development.

• Innovation Hub: Working within AWS implies being part of a fast-paced, innovation-driven culture where experimentation and pushing technological boundaries are encouraged.

Work Schedule: The standard 40-hour work week is complemented by Amazon's commitment to work-life harmony, suggesting flexibility in scheduling to accommodate personal needs while meeting project demands.

📝 Enhancement Note: The hybrid model and multiple location options provide flexibility. The emphasis on collaboration and cutting-edge technology points to a dynamic and stimulating work environment, typical of leading tech companies like Amazon.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on alignment with core qualifications and experience.

• Technical Interviews: Expect multiple rounds of interviews focusing on technical skills, including:

  • Prototyping & Front-end: Demonstrating proficiency in building functional prototypes and front-end technologies.
  • AI/ML & Agentic Systems: Discussing experience with LLMs, RAG, agentic workflows, and non-deterministic interfaces.
  • Design Thinking & UX: Assessing your approach to user research, problem-solving, and designing intuitive experiences.

• Portfolio Review: A dedicated session to walk through your portfolio, showcasing key projects, your design process, and the impact of your work. Be prepared to discuss your contributions, challenges, and outcomes.

• Behavioral Interviews: Questions assessing cultural fit, leadership potential, collaboration style, and alignment with Amazon's leadership principles.

• Final Round: Often involves senior leadership for final assessment and discussion of strategic vision.

Portfolio Review Tips:

• Showcase AI Integration: Clearly highlight projects where you've integrated LLMs, agentic AI, or RAG patterns. Detail the problem, your solution, the technologies used, and the results.

• Emphasize Rapid Prototyping: Present case studies that demonstrate your ability to validate ideas quickly. Quantify the speed of your prototyping process if possible.

• Define UX/AX: Explain how you designed for both human users and AI agents, detailing the considerations for each.

• Production-Aware Prototypes: Show examples where your prototypes were built with an eye toward eventual production, including reusable components or patterns.

• Quantify Impact: Whenever possible, use metrics to demonstrate the tangible outcomes of your work (e.g., improved efficiency, faster decision-making, increased adoption).

• Tell a Story: Structure your portfolio presentations to tell a compelling narrative about the problem, your innovative solution, and the impact achieved.

Challenge Preparation:

• AI Design Scenarios: Be prepared to discuss how you would approach designing an AI agent for a specific marketing task (e.g., campaign optimization, content generation strategy).

• Prototyping Challenges: You might be asked to sketch out a solution or discuss your approach to prototyping a complex AI-driven workflow under time constraints.

• Strategic Thinking: Anticipate questions about how AI can transform marketing operations and how you would balance innovation with practical implementation and user needs.

📝 Enhancement Note: The interview process at Amazon is rigorous, with a strong emphasis on both technical depth and behavioral alignment. A well-curated portfolio showcasing practical AI integration, rapid prototyping, and strategic thinking will be crucial. Preparing to articulate your process and impact using Amazon's Leadership Principles will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping Tools: Expect proficiency in tools like Figma, Sketch, Adobe XD, or similar, potentially with advanced plugins for interactive elements and AI integration.

• Front-end Development: Strong command of HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js) for building production-aware prototypes.

• AI/ML Frameworks & APIs: Experience with AI/ML libraries (e.g., TensorFlow, PyTorch), LLM APIs (e.g., OpenAI API, AWS Bedrock), and RAG implementations.

• Orchestration Frameworks: Familiarity with tools or custom frameworks for managing multi-agent systems and complex workflows.

• Middleware & Integration: Experience connecting different systems and services, potentially using tools like Zapier, custom APIs, or event-driven architectures.

Analytics & Reporting:

• Web Analytics: Tools like Google Analytics, Adobe Analytics for understanding user behavior and content performance.

• Marketing Analytics Platforms: Tools for tracking campaign performance, ROI, and customer engagement.

• Data Visualization: Tools such as Tableau, Power BI, or internal AWS visualization tools for creating dashboards and reports.

CRM & Automation:

• CRM Systems: Familiarity with Salesforce, HubSpot, or similar CRM platforms used for managing customer relationships and marketing data.

• Marketing Automation Platforms: Experience with Marketo, Pardot, HubSpot Marketing Hub, or similar for automating marketing campaigns and workflows.

• Cloud Platforms: Deep understanding of AWS services is highly beneficial, given the team's focus.

📝 Enhancement Note: Proficiency in front-end development and advanced AI/ML integration tools is paramount. The ability to work with APIs, orchestration frameworks, and potentially cloud-native services (AWS) will be essential for building sophisticated agentic workflows. Familiarity with marketing technology stack elements like CRM and automation platforms is also a strong plus.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: A foundational Amazon principle, focusing on understanding and meeting the needs of AWS marketers and ultimately, AWS customers.

• Bias for Action: Emphasizing rapid prototyping and quick decision-making to accelerate innovation and outcomes.

• Invent and Simplify: A drive to create novel solutions and simplify complex processes, particularly through the application of AI.

• Ownership: Taking full responsibility for the AI Design Technology vision and its implementation, acting as the sole technologist in this domain.

• High Standards: Maintaining a commitment to quality, craftsmanship, and building "great taste" in AI-driven experiences.

Collaboration Style:

• Cross-Functional Integration: Close collaboration with Product Management, Engineering, and Marketing is expected to ensure alignment and successful integration of AI solutions.

• Design-Driven Innovation: A culture where design thinking and user experience are central to developing AI capabilities, ensuring solutions are not just technically advanced but also practical and user-centric.

• Knowledge Sharing: As a senior member and mentor, contributing to the broader design technology community through sharing best practices and insights on AI-native design.

• Experimentation: An environment that encourages experimentation with new AI technologies and design paradigms, with a focus on learning from both successes and failures.

📝 Enhancement Note: The team culture appears to be a blend of Amazon's core leadership principles with a specific focus on innovation in AI and marketing technology. The emphasis on "taste," rapid action, and ownership suggests a high-performance environment where individual initiative is valued and rewarded.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining Novel AI Experiences: Pioneering new paradigms for human-AI collaboration in marketing where established best practices are still emerging.

• Balancing Speed and Quality: Rapidly prototyping and validating ideas while ensuring the resulting designs and workflows are robust, scalable, and maintain high standards.

• Technical Complexity: Integrating LLMs, agentic workflows, and potentially RAG patterns into functional prototypes requires navigating complex technical landscapes.

• Cross-Functional Alignment: Ensuring buy-in and seamless collaboration across diverse teams (Product, Engineering, Marketing) with varying technical understandings of AI.

• Scalability: Designing solutions that can scale to support hundreds of marketers and millions of customer-facing assets within AWS.

Learning & Development Opportunities:

• Cutting-Edge AI: Direct experience with the latest advancements in LLMs, generative AI, and agentic systems within a major cloud provider.

• Industry Leadership: Opportunity to define and lead the charge in AI-native marketing design, becoming a recognized expert in the field.

• Product & Engineering Acumen: Deepen understanding of product development lifecycles and engineering challenges within a large-scale tech organization.

• Mentorship & Influence: Develop leadership and mentorship skills by guiding other team members and influencing strategic technical direction.

• AWS Ecosystem: Gain in-depth knowledge of the vast AWS ecosystem and its applications in marketing technology.

📝 Enhancement Note: This role presents significant challenges in a rapidly evolving field, offering substantial growth opportunities for individuals who thrive on innovation and complex problem-solving. The ability to navigate technical hurdles and drive strategic adoption of AI in marketing will be key to success and development.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI agent that acts as a 'campaign optimizer' for AWS marketing? What are the key considerations for its user experience and agent experience?" (Focus on process, AI capabilities, UX/AX design)

• "Describe a time you had to validate a novel technical idea rapidly. What was your process, and what was the outcome?" (Focus on bias for action, prototyping speed, impact)

Company & Culture Questions:

• "Why are you interested in Amazon and specifically this role within AWS Marketing?" (Research AWS's mission, marketing challenges, and the team's focus on AI.)

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

Portfolio Presentation Strategy:

• Structure: Begin with a high-level overview of the challenge and your role, then dive into specific projects. For each project, clearly articulate the problem, your solution (with emphasis on AI integration and prototyping), your process, and the measurable impact.

• Demonstrate Technical Depth: Be ready to discuss the specific AI models, APIs, frameworks, and front-end technologies you used, and why.

• Highlight UX/AX: Clearly articulate how you designed for both human users and AI agents, showcasing the unique considerations for each.

• Quantify Impact: Use data and metrics to showcase the success of your projects. If direct metrics aren't available, explain the intended impact and how it was measured or validated.

• Showcase Rapid Prototyping: If possible, present examples where speed was critical and demonstrate your ability to deliver functional prototypes quickly.

• Engage: Be prepared for interactive discussions, questions about your design choices, and potential whiteboard exercises or live prototyping demonstrations.

📝 Enhancement Note: Preparation should focus on demonstrating a strong blend of technical AI/prototyping skills, strategic "design thinking," and alignment with Amazon's customer-centric, action-oriented culture. Be ready to articulate not just what you did, but why and how it led to positive outcomes.

📌 Application Steps

To apply for this Senior AI Design Technologist position:

• Submit your application through the Amazon Jobs portal.

• Tailor your Resume: Ensure your resume highlights your 6+ years of front-end technologist/UX prototyping experience, specific examples of AI/ML integration (LLMs, RAG, agentic AI), and experience with rapid prototyping and complex workflows. Use keywords from the job description.

• Curate Your Portfolio: Prepare a portfolio that showcases your most relevant work, focusing on functional prototypes, AI integration case studies, and examples of defining dual UX/AX. Be ready to present this confidently.

• Prepare for Interviews: Research Amazon's Leadership Principles and prepare specific examples for behavioral questions. Practice articulating your technical approach to AI design and prototyping challenges.

• Understand the Team's Mission: Research AWS Marketing, its goals, and how applied AI is being leveraged. This will help you tailor your responses and demonstrate genuine interest and understanding.

⚠️ 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.