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Vector Databases Jobs in Vancouver, WA (NOW HIRING)

Fisher Investments

AI Engineering Manager

Gresham, OR · Hybrid

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Fisher Investments

AI Engineering Manager

Camas, WA · Hybrid

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Fisher Investments

AI Engineering Manager

Camas, WA · Hybrid

Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, vector databases * Experience with cloud-native architectures, APIs, DevOps/MLOps, with experience ...

Pwc

ERP AI Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Slalom Consulting

General Information

Portland, OR · On-site

$91K - $115K/yr

Strong understanding of AI cost drivers and architecture patterns, including token-based pricing, GPU utilization, inference costs, model hosting, caching, vector databases, Retrieval-Augmented ...

D.A. Davidson

AI & Automation Engineer

Portland, OR · On-site

... vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial Services Experience:

D.A. Davidson

AI & Automation Engineer

Portland, OR · On-site

... with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. * Financial Services ...

Pwc

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

Deloitte

Google AI Architect

Portland, OR · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... databases. Should have experience in leveraging various GenAI tools to accelerate software ...

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All JobsVector Databases JobsVector Databases Jobs in Vancouver, WA

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 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 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 popular job titles related to Vector Databases jobs in Vancouver, WA?

For Vector Databases jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Vector Databases jobs in Vancouver, WA look for?

The top searched job categories for Vector Databases jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Vector Databases jobs?

Cities near Vancouver, WA with the most Vector Databases job openings:

Vector Databases jobs near you
Infographic showing various Vector Databases job openings in Vancouver, WA as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution.

AI Architect/ AI Consultant

Syntricate Technologies

Portland, OR • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
Syntricate Technologies is seeking an AI Architect/ AI Consultant with extensive experience in AI and machine learning. The role involves building AI solutions, developing RESTful APIs, and working with cloud data and AI stacks.
Responsibilities:
• Strong proficiency in Python and its libraries for AI, machine learning, and data manipulation.
• Extensive experience in building RESTful APIs using design principles, including versioning, error handling, and pagination.
• Experience in Generative AI stack – Large Language Models / Foundation Models, vector databases e.g., Pinecone, Chroma, orchestration stack.
• Hands on experience in building AI orchestration with frameworks like LangChain.
• Strong understanding of cloud data & AI stack on Azure / AWS.
• Understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
• Proficiency in JavaScript, including experience with React JS and NodeJS.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Solid knowledge of databases, such as MongoDB, MySQL, or PostgreSQL, and proficiency in writing efficient queries.
• Experience with authentication and authorization protocols (e.g., OAuth, JWT) and securing APIs.
• Strong understanding of microservices architecture and familiarity with related technologies (e.g., Docker, Kubernetes).
• Familiarity with API management platforms and tools (e.g., Azure API Management, AWS API Gateway).
• Excellent problem-solving and analytical skills, with the ability to troubleshoot and debug complex API issues.
• Knowledge of serverless architecture and experience with serverless computing platforms/services (e.g., Azure Functions, AWS Lambda).
• Passion for technology and a strong ambition to excel in the field of AI.
Qualifications:
Required:
• 12+ Years experience
• Strong proficiency in Python and its libraries for AI, machine learning, and data manipulation.
• Extensive experience in building RESTful APIs using design principles, including versioning, error handling, and pagination.
• Experience in Generative AI stack – Large Language Models / Foundation Models, vector databases e.g., Pinecone, Chroma, orchestration stack.
• Hands on experience in building AI orchestration with frameworks like LangChain.
• Strong understanding of cloud data & AI stack on Azure / AWS.
• Understanding of data processing frameworks e.g., Data Bricks, Airflow etc.
• Proficiency in JavaScript, including experience with React JS and NodeJS.
• Solid understanding of AI concepts, algorithms, and methodologies.
• Solid knowledge of databases, such as MongoDB, MySQL, or PostgreSQL, and proficiency in writing efficient queries.
• Experience with authentication and authorization protocols (e.g., OAuth, JWT) and securing APIs.
• Strong understanding of microservices architecture and familiarity with related technologies (e.g., Docker, Kubernetes).
• Familiarity with API management platforms and tools (e.g., Azure API Management, AWS API Gateway).
• Excellent problem-solving and analytical skills, with the ability to troubleshoot and debug complex API issues.
• Knowledge of serverless architecture and experience with serverless computing platforms/services (e.g., Azure Functions, AWS Lambda).
• Passion for technology and a strong ambition to excel in the field of AI.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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