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Vector Databases Jobs in Seattle, WA (NOW HIRING)

Staff Product Manager

Seattle, WA · On-site

$186K - $233K/yr

Lead development of next-generation data primitives - including vector databases, knowledge bases, MCP integrations, and open table formats like Apache Iceberg - to power RAG workflows and agentic ...

Software Development Manager III, S3 Vectors

Seattle, WA · On-site

$140K - $185K/yr

... vector databases. As an SDM on S3 Vectors, you will lead a team of engineers driving fast-paced green field development of foundational services related to this new offering. S3 Vectors: As an SDM in ...

Senior AI Software Engineer

Kent, WA · On-site

$154K - $231K/yr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

AI Enterprise Architect

Seattle, WA · On-site

$78.50 - $101.25/hr

... vector databases • Define and enforce AI governance frameworks, including Responsible AI, GuardRails, and compliance with AI Ethics & Regulations. • Supervise the design, fine-tuning, and ...

Software Engineer III

Bellevue, WA · On-site

$141K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Software Engineer III

Bellevue, WA · On-site +1

$136K - $225K/yr

Understanding of LLM architectures, embeddings, and vector databases (e.g., Qdrant, Pinecone, Milvus, FAISS). * Demonstrated ability to drive cross-team technical initiatives and influence ...

Senior AI Software Engineer

Kent, WA · On-site +1

$154K - $231K/yr

Build and maintain RAG pipelines leveraging vector databases to enable intelligent search and retrieval * Develop comprehensive evaluation frameworks (evals) to measure, monitor, and improve AI ...

Key Responsibilities - Building Python based Azure OpenAI pipeline (5.1 mini model or similar) with modular orchestration - Implementing embeddings and vector database indexing - Creating clustering ...

You will play a central role in designing and developing how our products use ML technologies such as transformers, vector databases, etc. The ideal candidate should have at least 3 years of ...

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Lead AI Engineer - AWS Platform

Seattle, WA · On-site +1

$130K - $190K/yr

Build RAG pipelines using vector databases and enterprise data sources * Build machine learning models that automate their training, validation, monitoring, and retraining * Develop APIs and services ...

... servers, vector databases, and automation workflows. • Enable smooth data exchange between AI agents and enterprise systems like Salesforce, SAP, and Workday. • Identify and fix performance ...

... and vector databases • Demonstrate strong engineering skills and the ability to credibly review and guide technical decisions • Show a track record of driving organizational change through ...

Showing results 21-40

Vector Databases information

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a vector database engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.
What cities near Seattle, WA are hiring for Vector Databases jobs? Cities near Seattle, WA with the most Vector Databases job openings:
Infographic showing various Vector Databases job openings in Seattle, WA as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, 1% Temporary, and 7% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.

Software Development Manager III, S3 Vectors

Amazon

Seattle, WA

$140K - $185K/yr

Full-time

Re-posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,062 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

S3 Vectors is a new (launched re:Invent 2025) serverless vector store that lets you store and query millions of vector embeddings directly within cloud object storage at up to 90% cost savings compared to traditional vector databases. As an SDM on S3 Vectors, you will lead a team of engineers driving fast-paced green field development of foundational services related to this new offering.
S3 Vectors: https://aws.amazon.com/blogs/aws/amazon-s3-vectors-now-generally-available-with-increased-scale-and-performance/
As an SDM in Amazon's Simple Storage Service (S3), you will solve exciting problems at incomparable scale

You will help build systems that manage trillions of objects in storage, retrieve them in milliseconds, across tens of thousands of hosts, all while maintaining 99.999999999% (you didn't read that wrong, that's 11 nines!) of data durability. Amazon S3 powers businesses, nonprofits, and transformative organizations across the globe that make the lives of people better daily. As an SDM in S3, you will lead and develop teams of talented engineers and leaders to deliver changes to our system that delight our customers, and in turn improve the lives of their customers.
Key job responsibilities
Key job responsibilities
Innovating on lightweight processes to allow for quick iteration in a highly ambiguous space


Driving the day to day sprint work as well as roadmap for your area
Collaborating with other engineering leaders to find solutions to brain-contorting problems
Developing the careers of your people, actively mentoring them
A day in the life
You will cultivate a culture of fast-paced innovation with lightweight processes. You will collaborate with product and partner with teams within AWS to deliver product features. The services you will own and build are the foundation of S3 and you will tackle some of the most difficult problems in S3 head-on.

In AWS, if you build it, you own it. This means we hold a high bar for test automation, verification, design, and code reviews to ensure our systems meet high standards we demand in service of our customers.
Our team puts high value on work/life balance.

We recognize that the circumstances of our team members vary, and we balance work across the team so that we're all able to maintain high standards on behalf of our customers, as well as allow for rich and happy personal lives. We maintain a regular on-call rotation across our teams with engineers and managers all taking part to resolve the inevitable issues that arise. We don't like getting paged outside of work hours so we work to ensure our systems are fault tolerant.

When we do get paged we work together to resolve root cause so that we don't get paged for the same issue twice.
Upon joining S3, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we're building, the tools we use and the business problems we're trying to solve. We hire exceptional people and we recognize the importance of coaching others. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level.
About the team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud


Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US