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You will work at the intersection of design, engineering, and creative systems, building and evolving AI-enabled tools and intelligent workflows that help teams create, review, collaborate, and deliver at scale. The role combines rapid prototyping, systems thinking, and practical problem-solving across design-to-production workflows, agentic systems, model integrations, quality gates, and production platforms.
You will turn ambiguous creative and operational needs into functional solutions, test new approaches using APIs and data, and work closely with design, engineering, science, and operations to move successful prototypes into reliable content and UX solutions.
Key job responsibilities
1. Own AI-enabled design technology projects from problem definition through prototyping, production integration, launch, and iteration.
2. Build functional prototypes, node-based workflows, and scalable AI pipelines within real constraints, including architecture, data access, security, performance, and approved technologies.
3. Create GenAI workflows for imagery, video, 3D, motion, templates, content production, and customer experiences.
4. Build custom GenAI tools, APIs, and platforms that support creative teams at scale.
5. Partner with UX, science, product, engineering, and creative leadership to test workflows and align AI capabilities with customer and business needs.
6. Build design-to-production systems that reduce manual handoffs and move creative work reliably into production.
7. Use model APIs, production data, and automation to solve complex creative and operational problems.
8. Design agentic systems that coordinate models, tools, data, automation, memory, and human review across creative workflows.
9. Rapidly prototype and compare multiple approaches, identify technical and UX risks, and recommend a clear path forward.
10. Lead multiple projects in parallel, managing dependencies, milestones, technical decisions, and stakeholder expectations.
11. Establish quality gates, evaluation methods, review mechanisms, and standards for prompting, data, benchmarking, and output quality.
12. Turn successful experiments into reliable, reusable, and maintainable tools that integrate with eShop production platforms.
A day in the life
You will be a hands-on problem solver and builder, turning complex creative and operational challenges into working AI-enabled tools, systems, and workflows. Your day may include defining the technical approach, prototyping with model APIs and production data, building agent-based and node-based systems, and testing GenAI workflows against real quality and production constraints.
You will connect the right people, systems, and decisions to move work forward. Partnering with UX Design, Engineering, Product Management, Applied Science, and design system teams, you will resolve dependencies, make tradeoffs, and turn experiments into reliable production solutions. You will also build visibility into workflow performance, quality, and adoption so teams can identify issues, improve outcomes, and make informed decisions.
About the team
This role sits within Ă©Shop, the organization responsible for creating elevated product content and shopping experiences across Amazon. Ă©Shop brings together creative, production, design, technology, and operations to help customers discover, understand, and engage with products across global marketplaces. The team combines UX innovation, design technology, AI-enabled content creation, workflow development, and operational readiness to turn new ideas into scalable customer experiences. Basic Qualifications: - 5+ years of front-end technologist, engineer, or UX prototyper experience
- Experience with UI design for complex workflows and for end users
- Have coding samples in front end programming languages
- Experience with web, mobile web, or mobile app front-end development
- Bachelor's degree Preferred Qualifications: - Knowledge of technologies such as JavaScript/NodeJS, HTML/CSS, Responsive/Adaptive Design
- Knowledge of Python, Javascript, and source control (Git)
- Experience working in a collaborative team and working directly with developers for implementation of designs
- Experience designing and building enterprise tools
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in computer architecture
- Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 145,000.00 - 196,100.00 USD annually
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