Sr. Design Technologist, Prime Video - AI Content Generation

📍 Job Overview

Job Title: Sr. Design Technologist, Prime Video - AI Content Generation

Company: Amazon

Location: Culver City, California, United States

Job Type: Full-Time

Category: Technology / Creative & Media / Design Technology

Date Posted: April 09, 2026

Experience Level: 6+ Years

Remote Status: On-site

🚀 Role Summary

• Bridges the gap between cutting-edge AI research (specifically generative AI models like diffusion and autoregressive) and creative production workflows within Prime Video.

• Develops and prototypes innovative tooling and workflows that leverage AI for content generation, directly impacting the creation of visual stories for a leading streaming service.

• Translates complex technical capabilities of ML science teams into actionable production requirements for creative and production teams.

• Possesses a dual expertise in technical architecture of AI models and fluent communication with creative directors on narrative, tone, and visual craft.

• Plays a pivotal role in defining the future of AI-generated content for a world-class streaming platform.

📝 Enhancement Note: This role is highly specialized, focusing on the intersection of advanced AI/ML capabilities with creative production. It requires a unique blend of technical depth in generative AI, front-end development, and a strong understanding of creative storytelling and production pipelines. The "Design Technologist" title signifies a hands-on role focused on building practical applications of AI in a creative context, rather than pure research or pure design.

📈 Primary Responsibilities

• Serve as the primary liaison between Science/ML teams and Creative/Production teams, translating research capabilities into production workflows and production needs into scientist requirements.

• Develop a deep working knowledge of internal generative models (diffusion, autoregressive), assessing them from both a technical and artistic perspective.

• Collaborate with production teams to understand their creative workflow needs, then partner with science teams to scope and prioritize AI model development.

• Build proof-of-concept workflows and tooling to demonstrate how new generative AI model capabilities can be applied to real content production problems.

• Identify and articulate gaps between current model outputs and actual production requirements to both technical and creative stakeholders.

• Develop essential documentation, creative briefs, and technical specifications to ensure alignment between science and art teams.

• Mentor junior teammates and help establish team standards for evaluating and integrating new Generative AI capabilities into production pipelines.

• Contribute to the strategic direction of AI integration within Prime Video's content creation processes.

📝 Enhancement Note: The responsibilities highlight a critical connective role. The emphasis on "translation" and "liaison" indicates a need for strong communication and interpersonal skills alongside technical prowess. The "proof-of-concept" and "tooling" aspects point towards a hands-on, iterative development approach.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Computer Science, Human-Computer Interaction, Design, or a related technical/creative field would be highly beneficial.

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

Required Skills:

• 6+ years of front-end technologist, engineer, or UX prototyper experience.

• Proven ability to develop visually polished, engaging, and highly fluid UX prototypes.

• Experience collaborating effectively with UX designers, Product Managers, and technical partners.

• Strong understanding of front-end programming languages and their application in building interactive experiences.

• Demonstrated ability to translate creative concepts into technical specifications and vice versa.

• Excellent communication and interpersonal skills, with the ability to bridge technical and creative divides.

Preferred Skills:

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

• Experience with machine learning (ML) tools and methods, particularly in the context of generative AI.

• Familiarity with diffusion and autoregressive models.

• Experience in the media, entertainment, or streaming industry.

• Understanding of visual storytelling principles, narrative structure, and creative production workflows.

• Experience building and deploying prototypes on cloud platforms like AWS.

📝 Enhancement Note: The "Basic Qualifications" are framed as essential, while "Preferred Qualifications" indicate areas where candidates with additional experience will have a stronger profile. The requirement for an online portfolio and coding samples is crucial for demonstrating practical application of skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• An available online portfolio is mandatory.

• Portfolio must showcase visually polished, engaging, and highly fluid UX prototypes.

• Include coding samples in front-end programming languages to demonstrate technical proficiency.

• Demonstrate experience in translating complex technical concepts into user-facing prototypes and vice versa.

Process Documentation:

• Candidates should be prepared to discuss their process for developing prototypes, from ideation to implementation.

• Ability to articulate how they identify creative workflow needs and translate them into technical requirements for AI development.

• Experience in documenting technical specifications and creative briefs for complex projects involving AI and creative teams.

• Demonstrating a structured approach to building proof-of-concept workflows and tooling.

📝 Enhancement Note: The portfolio is a critical component of the application, serving as tangible evidence of the candidate's ability to execute. It needs to reflect both technical skill in front-end development and an understanding of creative application and user experience.

💵 Compensation & Benefits

Salary Range: $154,200 - $208,600 USD annually.

Benefits:

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

• Basic Life & AD&D Insurance with the option for supplemental life plans.

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

• Medical Advice Line.

• Flexible Spending Accounts.

• Adoption and Surrogacy Reimbursement coverage.

• 401(k) matching program.

• Paid Time Off (PTO).

• Parental Leave.

• Additional compensation includes sign-on payments and Restricted Stock Units (RSUs).

Working Hours: Standard full-time working hours, likely around 40 hours per week, with potential for flexibility depending on project needs and team collaboration.

📝 Enhancement Note: The salary range is specific to Culver City, California. Amazon's compensation philosophy includes base salary, sign-on bonuses, and RSU grants, offering a comprehensive total compensation package. The benefits listed are extensive and typical of large tech organizations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Streaming Entertainment / Technology. Prime Video operates within the highly competitive global streaming market, driving innovation in content delivery and creation.

Company Size: Amazon is a massive global corporation with a significant presence in technology, e-commerce, and entertainment. This implies access to vast resources, cutting-edge technology, and a large, diverse workforce.

Founded: Amazon was founded in 1994. Its long history has fostered a culture of innovation, customer obsession, and a drive for long-term thinking.

Team Structure:

• The role is within Prime Video, specifically focused on AI content generation, suggesting a highly specialized team at the intersection of ML Science and Creative Production.

• This team likely consists of individuals with backgrounds in AI/ML, front-end development, UX design, and creative production.

Methodology:

• Data-driven decision-making is a core Amazon principle, applied here to evaluating AI model performance and production workflow efficiency.

• Iterative development and rapid prototyping are expected, especially in a fast-moving area like generative AI.

• Emphasis on customer obsession drives the pursuit of innovative content experiences for Prime Video subscribers.

• A strong focus on technical excellence and scalable solutions.

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

📝 Enhancement Note: Amazon's culture is known for its high standards, innovation, and customer-centricity. The Prime Video team likely embodies these traits, with a fast-paced environment focused on delivering cutting-edge entertainment experiences.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior (Sr.) level role, indicating a need for significant experience and the ability to operate with a high degree of autonomy, mentor others, and contribute to strategic direction. It sits at a critical junction between technical innovation and creative application.

Reporting Structure: The role acts as a liaison, suggesting it reports into a product or technology leadership role that oversees AI/ML applications within creative production, or potentially a hybrid role with oversight from both technical and creative departments.

Operations Impact: This role has a direct and significant impact on Prime Video's content creation pipeline. By enabling and optimizing the use of generative AI, it can influence the speed, cost, quality, and creative possibilities of content production, directly affecting the service's offering and customer experience.

Growth Opportunities:

• Technical Specialization: Deepen expertise in generative AI models, ML engineering, and advanced front-end development within the context of creative media.

• Leadership: Advance into technical leadership roles managing teams of Design Technologists or AI integration specialists.

• Cross-functional Influence: Grow to influence broader content strategy and technology adoption across Prime Video or other Amazon entertainment divisions.

• Industry Recognition: Contribute to the advancement of AI in creative industries, potentially leading to speaking engagements or thought leadership opportunities.

📝 Enhancement Note: The "Sr." designation implies a need for strategic thinking and leadership potential beyond just execution. The unique nature of this role offers a growth path in a rapidly evolving field where expertise is highly valued.

🌐 Work Environment

Office Type: The role is based in Culver City, California, suggesting a modern office environment typical of major tech and entertainment companies in the Los Angeles area. This likely includes collaborative workspaces, meeting rooms, and potentially specialized areas for prototyping and testing.

Office Location(s): Culver City, California. This location is a hub for the entertainment industry, offering proximity to creative talent and partners.

Workspace Context:

• A highly collaborative environment where close interaction with ML scientists, UX designers, product managers, and creative directors is essential.

• Access to Amazon's advanced technology infrastructure, including cloud computing resources (AWS) and potentially specialized hardware for AI model development and testing.

• Opportunities for hands-on work with cutting-edge AI tools and creative software.

• A dynamic workspace that supports rapid iteration and experimentation.

Work Schedule: While a standard 40-hour work week is typical, the fast-paced nature of AI development and content production may require flexibility and dedication to meet project deadlines and milestones.

📝 Enhancement Note: The Culver City location places the role within a vibrant creative ecosystem, facilitating collaboration and access to industry trends. The emphasis is on a dynamic, tech-forward environment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and online portfolio to assess experience in front-end development, prototyping, and AI/ML familiarity.

• Technical Interviews: In-depth discussions and coding challenges focusing on front-end development, UX prototyping, and understanding of AI/ML concepts.

• Portfolio Deep Dive: Presentation and discussion of selected projects from the portfolio, focusing on problem-solving, technical approach, and creative application.

• Cross-functional Collaboration Scenarios: Behavioral questions and scenario-based discussions assessing ability to liaise between technical and creative teams, translate needs, and manage stakeholder expectations.

• AI/ML Concepts Interview: Evaluation of understanding of generative AI models (diffusion, autoregressive) and their application in creative contexts.

• Final Round: Discussion with senior leadership, focusing on strategic thinking, mentorship capabilities, and cultural fit within Amazon's high-performance environment.

Portfolio Review Tips:

• Showcase AI Integration: Highlight any projects demonstrating the use of AI, ML, or complex data-driven systems, especially those with a creative output.

• Demonstrate Prototyping Fluidity: Ensure prototypes are interactive, visually polished, and clearly communicate user flows and functionality.

• Explain Your Process: Be ready to walk through the "why" and "how" of your projects—your design process, technical choices, and problem-solving methodologies.

• Quantify Impact: Where possible, quantify the impact of your work (e.g., improved efficiency, user engagement metrics, successful feature implementation).

• Highlight Collaboration: Include examples or descriptions of how you've worked with cross-functional teams.

Challenge Preparation:

• Be prepared for potential technical challenges related to front-end coding (e.g., JavaScript frameworks, performance optimization) or conceptual AI/ML problems.

• Practice articulating complex technical ideas to a non-technical audience and creative concepts to a technical audience.

• Prepare case studies that demonstrate your ability to identify a problem, propose an AI-driven solution, prototype it, and articulate its potential impact on creative production.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's portfolio and their ability to articulate complex technical and creative concepts. Candidates should prepare to demonstrate both hands-on technical skill and strategic thinking around AI's role in content creation.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Development: Proficiency in modern JavaScript frameworks (e.g., React, Angular, Vue.js), HTML5, CSS3.

• Prototyping Tools: Experience with tools like Figma, Sketch, Adobe XD, or custom web-based prototyping frameworks.

• Generative AI Models: Working knowledge and ability to interact with or build upon diffusion models, autoregressive models, and other generative AI architectures.

• Cloud Platforms: Familiarity with cloud services, particularly AWS.

Analytics & Reporting:

• Experience with data analysis and visualization tools to track prototype performance and user engagement.

CRM & Automation:

• While not central to this role, understanding how creative production workflows integrate with broader content management or project management systems might be beneficial.

Databases (Preferred):

• Knowledge of databases and AWS database services: ElasticSearch, Redshift, DynamoDB.

📝 Enhancement Note: The core technical requirements revolve around advanced front-end development and prototyping, with a strong emphasis on understanding and applying generative AI models. AWS proficiency is a significant plus.

👥 Team Culture & Values

Operations Values:

• Customer Obsession: Focus on delivering exceptional experiences for Prime Video customers through innovative content.

• Innovation: Drive to explore and implement cutting-edge technologies like generative AI to push creative boundaries.

• Bias for Action: Proactively build, test, and iterate on solutions, embracing rapid prototyping and development.

• Ownership: Take responsibility for bridging technical and creative gaps, ensuring successful integration of AI into production.

• Learn and Be Curious: Continuously explore new AI advancements and creative techniques, fostering a culture of learning.

Collaboration Style:

• Highly collaborative, requiring seamless interaction between technical (Science/ML) and creative (Production/Art) teams.

• Emphasis on clear communication, active listening, and mutual respect to translate diverse perspectives into unified goals.

• A culture of constructive feedback to refine AI models and production workflows.

• Knowledge sharing is encouraged, especially regarding best practices in AI application and creative tooling.

📝 Enhancement Note: Amazon's Leadership Principles are likely deeply embedded in the team's culture, emphasizing customer focus, innovation, ownership, and high standards. The collaborative style is crucial for this role's success.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging the AI-Creative Divide: Effectively translating complex AI capabilities into understandable and actionable insights for creative teams, and vice versa.

• Rapidly Evolving AI Landscape: Keeping pace with the extremely fast advancements in generative AI research and tooling.

• Defining New Workflows: Establishing novel production pipelines that integrate AI-generated content seamlessly and efficiently.

• Balancing Technical Feasibility with Creative Vision: Ensuring AI solutions meet both the technical requirements of ML science and the artistic demands of content creation.

• Ethical Considerations: Navigating the responsible development and deployment of AI in content generation.

Learning & Development Opportunities:

• Cutting-Edge AI Research: Direct exposure to and involvement with state-of-the-art generative AI models and research.

• Industry-Leading Creative Production: Insights into the workflows and demands of a top-tier streaming service.

• Cross-Disciplinary Skill Development: Enhance expertise in both AI/ML and creative technology/production.

• Mentorship: Opportunity to mentor junior talent and learn from seasoned AI scientists and creative leaders.

• Professional Development: Access to Amazon's extensive learning resources, potential for attending industry conferences, and development programs.

📝 Enhancement Note: This role is at the forefront of a new wave of creative technology. The challenges are significant but come with unparalleled opportunities for growth and impact in a field that is redefining media creation.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex technical concept to a non-technical audience. What was the outcome?" (Focus on clarity, empathy, and results.)

• "How would you approach building a proof-of-concept workflow for using AI to generate character concepts for an animated series?" (Demonstrate structured thinking, technical considerations, and creative output.)

• "What are the key differences between diffusion and autoregressive models, and how might those differences impact their use in creative production?" (Showcase understanding of AI principles and practical application.)

Company & Culture Questions:

• "Why are you interested in working at Amazon and specifically on Prime Video's AI content generation team?" (Connect your passion for AI, creativity, and media with Amazon's mission.)

• "How do you embody Amazon's leadership principles, such as Customer Obsession or Bias for Action, in your work?" (Prepare specific examples.)

Portfolio Presentation Strategy:

• Narrative is Key: For each project, tell a story: the problem, your solution (technical and creative approach), the challenges, and the impact.

• Show, Don't Just Tell: Use interactive demos or clear visuals to showcase your prototypes and their functionality.

• Highlight AI/ML Relevance: If applicable, clearly articulate the AI/ML components and your role in integrating them.

• Explain Technical Choices: Be ready to justify your technology stack and design decisions.

• Focus on Process: Detail your iterative design and development process, including how you gathered feedback and made adjustments.

📝 Enhancement Note: Preparation should focus on demonstrating a unique blend of technical expertise, creative understanding, and strong communication skills. Practicing articulating complex ideas and showcasing portfolio projects effectively will be crucial.

📌 Application Steps

To apply for this Sr. Design Technologist position:

• Submit Your Application: Navigate to the Amazon Jobs portal and submit your resume and cover letter (if applicable) through the provided link.

• Portfolio Preparation: Ensure your online portfolio is up-to-date, easily accessible, and showcases your strongest work in front-end development, UX prototyping, and any relevant AI/ML integration projects. Tailor the portfolio to highlight examples that align with the job description's emphasis on generative AI and creative production.

• Resume Optimization: Tailor your resume to highlight the 6+ years of front-end technologist/UX prototyping experience, specific coding languages, and any experience with ML, AWS, or creative technology. Use keywords from the job description naturally.

• Interview Practice: Prepare to discuss your portfolio projects in detail, articulate your understanding of generative AI models, and answer behavioral questions related to cross-functional collaboration and problem-solving. Practice explaining complex technical concepts clearly and concisely.

• Company Research: Familiarize yourself with Prime Video's content, its position in the streaming market, and Amazon's overall approach to technology and innovation. Understand Amazon's Leadership Principles.

⚠️ 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.