Principal Solutions Architect
NC · On-site +1
Familiarity with vector databases (Pinecone, FAISS) * Experience with Docker and Kubernetes * Knowledge of DevOps practices including testing frameworks and repository management We engineer faster ...
Principal Solutions Architect
NC · On-site +1
Familiarity with vector databases (Pinecone, FAISS) * Experience with Docker and Kubernetes * Knowledge of DevOps practices including testing frameworks and repository management We engineer faster ...
GIS Analyst / Modeler
South Kingstown, RI · On-site +1
Organize and structure spatial data files across servers and database environments, including ... Prepare and integrate gridded/raster and vector datasets from multiple sources for use as model ...
GIS Analyst / Modeler
South Kingstown, RI · On-site +1
Organize and structure spatial data files across servers and database environments, including ... Prepare and integrate gridded/raster and vector datasets from multiple sources for use as model ...
AI Infrastructure Engineer - Agents & ML Systems
Providence, RI · On-site
$140 - $190/hr
Experience with vector databases, embeddings, retrieval systems, knowledge graphs, document processing, search, or RAG systems. * Experience with LLM fine-tuning, supervised fine-tuning, preference ...
AI Infrastructure Engineer - Agents & ML Systems
Providence, RI · On-site
$140 - $190/hr
Experience with vector databases, embeddings, retrieval systems, knowledge graphs, document processing, search, or RAG systems. * Experience with LLM fine-tuning, supervised fine-tuning, preference ...
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?
| Aspect | Vector Databases | Data Engineers |
|---|---|---|
| Required Skills | Database management, data modeling, query optimization | Data pipeline development, ETL processes, programming |
| Work Environment | Data storage systems, AI/ML projects, cloud platforms | Data infrastructure, cloud environments, big data tools |
| Industry Usage | AI, machine learning, recommendation systems | Data 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 Rhode Island?
For Vector Databases jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Rhode Island look for?
The top searched job categories for Vector Databases jobs in Rhode Island are:
What cities in Rhode Island are hiring for Vector Databases jobs?
Cities in Rhode Island with the most Vector Databases job openings:
Principal Solutions Architect
NC • On-site, Remote
GXO Logistics •
Transportation and Warehousing • 10K+ employees10,000+ employees
7.2
Based on 241 frontline employees who took The Breakroom Quiz
187th of 366 rated logistics
People enjoy working here
Good employer
Paid breaks
Respectful managers
Uninterrupted breaks
Full-time
Medical, Dental, Vision, Life, Retirement
Re-posted 8 days ago
Job description
Logistics at full potential.
At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.
Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Solutions Architect you will be responsible for translating enterprise data strategy into scalable, secure, and high-performing architecture solutions. This role partners with data leadership to shape architectural direction and leads the design of modern cloud-native data platforms that enable analytics, AI/ML, and data democratization. If you're looking for an exciting opportunity with a dynamic company, join us at GXO.
Pay, benefits and more.
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
What you'll do on a typical day:
What you need to succeed at GXO:
At a minimum, you'll need:
It'd be great if you also have:
We engineer faster, smarter, leaner supply chains.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.
Are you ready to take your career to the next level with a rapidly growing global company? As the Principal Solutions Architect you will be responsible for translating enterprise data strategy into scalable, secure, and high-performing architecture solutions. This role partners with data leadership to shape architectural direction and leads the design of modern cloud-native data platforms that enable analytics, AI/ML, and data democratization. If you're looking for an exciting opportunity with a dynamic company, join us at GXO.
Pay, benefits and more.
We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more.
What you'll do on a typical day:
- Contribute to and evolve enterprise data architecture strategy by providing deep technical expertise and aligning architectural decisions to business priorities
- Translate complex business requirements into scalable, secure, and cost-optimized cloud-native architectures using GCP and Snowflake
- Develop and promote adoption of enterprise architecture standards, reference architectures, governance models, and best practices across global teams
- Design and guide implementation of modern data platforms supporting batch, streaming, analytics, AI/ML, and agentic workflows (LLMs, RAG, orchestration frameworks)
- Partner with engineering, product, data science, and business stakeholders to inform and influence roadmap priorities and ensure alignment with enterprise strategy
What you need to succeed at GXO:
At a minimum, you'll need:
- Bachelor's or higher degree in Computer Science, Data Science, or equivalent related work or military experience
- 5 years of experience in data engineering, data architecture, and cloud solution design
- 5 years of hands-on experience building cloud-native data platforms on GCP and/or Snowflake
- Deep expertise in GCP services (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, IAM, Cloud Storage, monitoring/logging)
- Strong Snowflake expertise (Tasks, Streams, Resource Monitors, clustering, performance tuning via Snowsight/Query Profile)
- Advanced SQL and strong Python skills (PySpark, Pandas), plus API integration experience
- Experience with event-driven and streaming architectures (Kafka and/or Pub/Sub)
- Strong data modeling expertise (star/snowflake schemas, domain-driven design) and experience with dbt and data catalog tools (Collibra or Alation)
- Experience with Airflow/Cloud Composer DAG development and CI/CD pipelines using GitHub/GitHub Actions
- Strong understanding of enterprise data governance and security (GDPR, CCPA, IAM, encryption/KMS, policy tags)
It'd be great if you also have:
- Experience with LLM/agent frameworks (Vertex AI, LangChain, Hugging Face) and RAG patterns
- Familiarity with vector databases (Pinecone, FAISS)
- Experience with Docker and Kubernetes
- Knowledge of DevOps practices including testing frameworks and repository management
We engineer faster, smarter, leaner supply chains.
GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work.
We are proud to be an Equal Opportunity employer including Disabled/Veterans.
GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers.
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test.
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.
About GXO Logistics
Sourced by ZipRecruiter
GXO Logistics, located in Greenwich, CT, US, is a global leader in the logistics industry. Specializing in innovative supply chain management, it operates across various sectors including e-commerce, food and beverage, technology, and retail. The company has cemented a notable reputation for providing top-notch outsourcing solutions that equip businesses to respond to market changes quickly and efficiently. Originally part of XPO Logistics, GXO, officially separated and spun off as a unique corporation in 2021, taking with it decades of expertise and a robust client roster. Their mission is to propel businesses forward with cutting-edge logistics and transportation solutions while adhering to their core values of safety always, customer-centric, and inclusive.
Industry
Transportation and warehousing
Company size
10,000+ Employees
Headquarters location
Greenwich, CT, US
Year founded
2021
Website
What GXO Logistics employees say
Pay
Benefits
Hours and flexibility
Workplace
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