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Entrylevel Retrieval Augmented Generation Jobs in Seattle, WA

... retrieval-augmented generation, and tool-using agents - that automate and augment audit work, applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...

Software Engineer

Seattle, WA · On-site

$200 - $275/hr

You'll join a fast-moving engineering team to build scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure -- powering enterprise search, AI assistants, and knowledge ...

Software Engineer

Seattle, WA · On-site

$200 - $275/hr

You'll join a fast-moving engineering team to build scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure -- powering enterprise search, AI assistants, and knowledge ...

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

Showing results 21-40

Entrylevel Retrieval Augmented Generation information

See Seattle, WA salary details

$36.4K

$59.3K

$86.5K

How much do entrylevel retrieval augmented generation jobs pay per year?

As of Sep 4, 2026, the average yearly pay for entrylevel retrieval augmented generation in Seattle, WA is $59,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $74,000.00 per year, depending on experience, location, and employer.

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Applied Scientist, Internal Audit

Amazon

Seattle, WA • On-site

Full-time

Posted 21 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,147 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

Are you passionate about data, enjoy solving complex analytical problems, leveraging industry leading agentic AI technologies to derive insight at scale - all in a challenging, fast-paced environment. We are seeking an Applied Scientist to accelerate the growth of Amazon Internal Audit's Data Science & Risk Intelligence initiatives. The team builds ML and AI solutions that expand self-service data utilization by audit teams, utilizing the right methods to derive deeper patterns, and surface insights to gain holistic perspectives while amplifying potential risk mitigation.
Key job responsibilities
- Work with audit teams, product managers, engineers, and more senior scientists to deliver machine learning and generative AI products that carry real degrees of ambiguity, scale, and complexity.
- Design, build, and evaluate agentic AI systems - multi-agent workflows, retrieval-augmented generation, and tool-using agents - that automate and augment audit work, applying rigorous LLM-as-judge and human-aligned evaluation to measure and improve output quality.
- Apply statistical analysis and classical machine learning using SQL and scripting languages like Python/R over large datasets to develop insights and recommendations that strengthen internal audit.
- Architect secure, scalable solutions on AWS machine learning and generative AI services (e.g., Bedrock, AgentCore, SageMaker), owning the full lifecycle from prototype through production deployment, monitoring, and iterative improvement, working closely with auditors to understand their business needs.
- Build and maintain the team's production and experimentation infrastructure, including deployment pipelines, observability and tracing, and evaluation harnesses.
- Advance applied research by exploring emerging techniques and sharing findings through internal and external publications, talks, and conferences.
A day in the life
As an Applied Scientist, you will help shape and execute a product roadmap that connects risk to the business, building AI products - increasingly centered on large language models and agentic systems - that make audit work more effective and efficient

Your work spans the full arc of applied science: framing ambiguous problems, prototyping with the latest generative AI techniques, building rigorous evaluations, and deploying solutions in production. The ideal candidate pairs a strong foundation in data science and machine learning with a builder's instinct for production architecture, thrives on ambiguity, and stays close to a fast-moving research frontier.
About the team
Internal Audit's mission is to help our businesses improve controllership, operational efficiency, and customer experience.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US