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Amazon

Sr. Conversational AI Product Design Technologist , Prime Video

OnsiteProduct & designNot yet verified

United States, CA, Culver City; United States, CA, Sunnyvale; United States, NY, New York; United States, WA, SEATTLE; United States, CA, San Francisco

Original posting date
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Last seen
Nov 2, 2026

Saved job description

Are you interested in shaping the future of entertainment? Do you want to shape the next generation of the Amazon Prime Video's content discovery and viewing experience? Prime Video is changing the way people watch movies and TV. From one service, we're delivering versatile ways to watch hundreds of thousands of movies, TV series, and live events on the web, mobile, and TV. Our service is available in more than 200 territories globally, and we're just getting started.

Working closely with business and technology partners, we use research, design, and prototyping to explore the frontier of generative AI and conversational experiences, guide early product development, and develop a customer-centric point of view.

As a Conversational AI Product Design Technologist, you'll be a key part of our UX design organization. Your role will be all about proving, advancing, and evolving cutting-edge conversational experiences through prototyping and hands-on product work. You'll translate human conversational needs into AI interaction behaviors, and you'll build what you design, writing system instructions, shaping model behavior, building evaluations, and prototyping across platforms. We welcome candidates who come at this from design technology, UX research, linguistics, or IVR backgrounds, and we value a deep instinct for conversation paired with real AI fluency.

Key job responsibilities

-Build high-quality, functional prototypes that convey and advance the vision of future conversational experiences.

-Translate human conversational needs into AI interaction behaviors, balancing a natural and trustworthy voice.

-Shape model behavior by writing and refining system instructions and prompts, building goldens and platinums, and partnering on reinforcement learning and evaluations.

-Design and build for repair and recovery, handling ambiguity, misunderstanding, hallucination, and graceful failure.

-Define conversational quality metrics and apply them to measurably improve the experience, including building LLM-as-a-judge evaluations.

-Prototype across voice, text, visual, and ambient (multimodal) surfaces, using the best and most appropriate tools for the task.

-Collaborate with design leadership and stakeholders throughout the product lifecycle, and work alongside designers, researchers, PMs, and engineers to drive concepts from idea to implementation.

-Thrive in a fast-paced, iterative environment with ambiguous challenges and brand new customer experiences.

A day in the life

One moment you might be mapping how a conversation should recover when a customer is misunderstood, then writing the system instructions that get the model there and standing up an evaluation to measure whether it holds up. The next moment, you might be building an interactive prototype on AWS Bedrock to show partners and leadership what the experience feels like, directing the model the way a film director uses analogies rather than spot correcting, letting it apply its own reasoning and world knowledge to interpret intent. You will move fluidly between designing the experience, shaping the model, and coding the prototype that makes it real.

Requirements: - 5+ years of front-end technologist, engineer, or UX prototyper experience

- An available online portfolio, with coding or prototyping samples that demonstrate conversational AI work.

- Hands-on experience prototyping with and designing for LLM-powered products.

- Experience shaping AI systems, including writing system instructions and prompts and building or running evaluations.

- Experience building functional prototypes, for example with front-end technologies, AI prototyping tools, or AWS tools such as Bedrock.

Location & listing notes

Locations describe the saved posting and do not confirm residence eligibility. Confirm qualifications, travel, restrictions, and availability with the employer.

Source-listed locations: US, Culver City, California; US, Sunnyvale, California; US, New York, New York; US, SEATTLE, Washington; US, San Francisco, California.

Listed states: CA, NY, WA.

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