Key job responsibilities
Develop, test, and optimize Generative AI workflows and pipelines for visual content production using inference platforms and services
Act as a bridge between creative teams and AI/ML engineering - translating production needs into technical requirements and delivering working solutions
Build and maintain automation scripts and tools that resolve workflow bottlenecks, improve content quality, and increase creator productivity
Evaluate AI-generated output for visual quality, brand consistency, and production readiness - applying both technical metrics and creative judgment
Support the fine-tuning, testing, and evaluation of foundational models and LLMs for image generation, video synthesis, and multimodal content creation
Design and implement prompt engineering frameworks that enable consistent, high-quality results at scale across content types
Collaborate with engineers and scientists to contribute to a centralized suite of GenAI tools used across visual content workflows
Research and prototype emerging Generative AI capabilities - assessing production viability and recommending adoption paths to creative leadership
Develop batch processing solutions and content pipelines that enable teams to generate, review, and publish AI-created assets efficiently
Document workflows, best practices, and technical specifications to enable partner teams to adopt generative workflows independently
Participate in cross-functional reviews to align AI tooling development with evolving creative standards and business requirements
A day in the life
In this role, you will move between creative and technical work. You might review AI-generated image outputs -tuning prompts and parameters to improve quality and consistency. Then shift to prototyping a workflow with a creative lead and ML engineer, translating a creative brief into a scalable technical solution. You could also be evaluating a new foundational model for production readiness or helping a partner team adopt your automation pipeline. Throughout it all, you will collaborate closely with creative directors, applied scientists, and content producers - solving the gap between what AI can technically generate and what meets the visual quality bar at scale.
About the team
Our team builds how hundreds of millions of customers see products - through photography, video, CGI, and increasingly through Generative AI. We are a global network of creatives, technologists, and scientists unified by one mission: make every product look its best, at extraordinary scale. Our culture values builders who are curious, collaborative, and comfortable navigating ambiguity. We ship fast, learn from what breaks, and believe the best creative work happens when art and technology push each other forward.
Bachelor's degree or above in computer science or equivalent
3+ years of experience in front-end technology, engineering, or UX prototyping
Coding samples in front-end programming languages
Available online portfolio demonstrating relevant work
Experience with web, mobile web, or mobile app front-end development
Experience with UI design for complex workflows and for end users
Experience building scripts, tooling, and automation for large-scale computing environments
Experience with prompt engineering techniques for content generation
Knowledge of technologies such as JavaScript/Node.js, HTML/CSS, Responsive/Adaptive Design
Knowledge of Python, JavaScript, and source control (Git)
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience as a mentor, tech lead, or leading an engineering team
Knowledge of video production, live streaming technologies, studio workflows, edit and post-production techniques, production calendars and staffing
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.
