Prompt Experience Designer

As a Prompt Experience Designer, you'll dive into the fascinating world of conversational AI, where your creativity meets cutting-edge technology. You'll spend your day exploring the intricate balance between user intent, brand personality, and technological capabilities, designing prompts that make interactions with AI feel natural, intuitive, and delightful.

This unique role brings together diverse talents and backgrounds. Whether you're a content designer with technical expertise passionate about crafting AI interactions, a machine learning engineer who blends technical prowess with design thinking, or a UX designer with programming experience eager to innovate at the intersection of AI and user experience, you'll find opportunities to shape the future of AI interactions. Your background in any of these areas, combined with a drive to create meaningful user experiences, positions you perfectly to thrive in this role at the forefront of conversational AI technology.

Key job responsibilities
- Design sophisticated prompts that enhance user experiences across interactive platforms and research workflows
- Create evaluation frameworks to test and optimize prompt effectiveness and quality
- Develop language-first content design methodologies that leverage conversational AI principles
- Collaborate with cross-functional teams to translate complex AI capabilities into user-friendly interactions
- Conduct user research to validate prompt performance and drive continuous improvement

Basic Qualifications

- 7+ years of design experience
- Have an available online portfolio
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with UX design of complex workflows
- Technical understanding of AI interaction design principles
- Experience with machine learning frameworks and expertise in refining AI prompts for optimal performance
- Experience designing and prototyping with tools such as Figma, ProtoPie, Adobe Creative Cloud, or similar

Preferred Qualifications

- Background in computational linguistics, natural language processing, or cognitive science
- Experience with conversational AI product development
- Familiarity with design systems and component-based design approaches
- Knowledge of prototyping techniques using front-end technologies
- Understanding of machine learning fundamentals and prompt engineering techniques
- Strong knowledge of Large Language Models (LLMs) with demonstrated ability to develop and integrate LLM-based solutions
- Proficient in core programming and machine learning technologies, including Python development, AI prompt engineering, and LLM model optimization
- Demonstrates a hands-on builder approach, effectively communicating ideas through rapid prototyping and iterative design solutions

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $127,100/year in our lowest geographic market up to $211,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.