AmazonSr. Conversational AI Product Design Technologist , Prime Video
Amazon is hiring a Sr. Conversational AI Product Design Technologist , Prime Video in San Francisco, United States. It pays $154k-$209k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Bedrock, LLMs and Prototyping Tools.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Design and prototype cutting-edge conversational AI experiences, system instructions, and evaluation metrics for Amazon Prime Video.
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.
Basic qualifications
- 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.
Preferred qualifications
- Background in UX Design, UX research, linguistics, computational linguistics, or IVR/voice design.
- Experience defining conversational quality metrics and running LLM evaluations, including LLM-as-a-judge.
- Experience prototyping multimodal experiences across voice, text, visual, and ambient surfaces.
- Familiarity with prompt engineering, model shaping, reinforcement learning, and AI-driven personalization.
- Understanding of WCAG AA standards and accessibility fluency.
- Expertise in working creatively around constraints and navigating ambiguous projects.
- Experience in entertainment, gaming, or streaming media.
- Bachelor's or Master's degree in design, HCI, computer science, linguistics, or equivalent.
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, CA, Culver City - 154,200.00 - 208,600.00 USD annually
USA, CA, San Francisco - 177,300.00 - 239,900.00 USD annually
USA, CA, Sunnyvale - 177,300.00 - 239,900.00 USD annually
USA, NY, New York - 169,600.00 - 229,500.00 USD annually
USA, WA, SEATTLE - 154,200.00 - 208,600.00 USD annually
How we rate this
Sr. Conversational AI Product Design Technologist , Prime Video at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Tell me about a project where conversational ai was part of your work. What did you do?
- Tell me about a project where ux design was part of your work. What did you do?
- Tell me about a project where llm evaluation was part of your work. What did you do?
- Tell me about a project where prototyping was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, Conversational AI, UX Design, LLM Evaluation, and Prototyping. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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