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Vector Databases Jobs in Minnesota (NOW HIRING)

... vector databases (Pinecone, Weaviate, etc.) Ability to integrate domain-specific data into AI systems 4. Agentic AI / AI Agents Experience building AI agents / multi-agent systems Familiarity with ...

AI engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Proven experience with libraries like Hugging Face, LangChain, or LlamaIndex, and working with vector databases (e.g., Pinecone, Milvus, Qdrant). * Data Engineering : Strong competency in SQL and ...

Senior Cloud Data & AI Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

... vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI). • Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models. • Design Agent-to-Agent (A2A ...

Senior Data Architect

Oslo, MN · On-site

$68.75 - $91.75/hr

Azure, Microsoft Fabric, SQL and cloud databases, vector databases, graph databases). * Practical, shipped experience with AI-augmented data workflows -- RAG, semantic and vector search, and agentic ...

Cloud Data Architect

Minneapolis, MN · On-site

$170K - $175K/yr

Act as a trusted advisor to senior business and IT stakeholders Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI). Define Model ...

IT Project Manager

Saint Paul, MN · On-site

$99K - $117K/yr

Experience with vector databases like Pinecone or Weaviate. * Familiarity with LangChain or Semantic Kernel. Additional Information Integres offers competitive salaries bolstered by a comprehensive ...

AI Engineer

Bloomington, MN · On-site

$100K - $150K/yr

Proven experience implementing RAG systems and integrating vector databases or external knowledge stores. * Proven experience in building and fine-tuning foundation models (e.g., LLMs, vision ...

IT Project Manager

Saint Paul, MN · Remote

$99K - $117K/yr

Experience with vector databases like Pinecone or Weaviate. * Familiarity with LangChain or Semantic Kernel. Additional Information Integres offers competitive salaries bolstered by a comprehensive ...

IT Project Manager

Saint Paul, MN · Remote

$99K - $117K/yr

Experience with vector databases like Pinecone or Weaviate. * Familiarity with LangChain or Semantic Kernel. Additional Information Integres offers competitive salaries bolstered by a comprehensive ...

... vector databases • Familiarity with knowledge graphs and relationship modeling to enhance risk intelligence and entity linkage • Strong understanding of MLOps and scalable ML systems using tools ...

AI Solution Architect

Minneapolis, MN · On-site +1

$65.75 - $86.75/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

AI Solution Architect

Minneapolis, MN · On-site +1

$65.75 - $86.75/hr

Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper: EisnerAmper is one of the largest accounting, tax, and ...

... with vector databases and embedding models - Track record of fine-tuning models on domain-specific data - Experience processing and managing data pipelines - Contributions to open-source AI/ML ...

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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 in Minnesota are hiring for Vector Databases jobs? Cities in Minnesota with the most Vector Databases job openings:
Sr AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC

Sr AI/ML Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$120K - $214K/yr

Full-time

Retirement

Posted 25 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

189th of 875 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

 

As a Senior AI/ML Engineer within the Consumer Engineering division of the Chief Digital Office (CDO), you will play a critical role in shaping the future of our digital health platforms. This role is designed for a high-performing engineer with solid software fundamentals and a deep passion for building production-ready, scalable AI services. You will focus on the practical application of Generative AI techniques, designing end-to-end solutions that integrate seamlessly into our enterprise ecosystem. By leveraging modern data platforms and cloud-native architectures, you will help bridge the gap between complex machine learning research and reliable, consumer-facing applications that improve the lives of those we serve.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

 

Primary Responsibilities: 

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
  • Design, implement, and optimize AI and machine learning solutions, including statistical models, deep learning, and advanced Generative AI systems
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across the engineering lifecycle
  • Build and operate large-scale training and inference pipelines using Databricks, PySpark, and cloud platforms (AWS, Azure, or GCP)
  • Apply advanced techniques such as RAG, LangChain, and Vector Databases to develop and scale Generative AI solutions
  • Execute proof-of-concepts and train models at scale, establishing performance baselines using quantitative evaluation metrics
  • Develop REST and FastAPI services, containerize solutions using Docker, and integrate UI tools to deliver seamless AI experiences
  • Evaluate emerging trends to inform solution design and lead strategic technical innovation within the team
  • Mentor junior engineers and lead design and architecture reviews to ensure high standards for code quality, safety, and reliability
  • Ensure solutions meet security, privacy, and regulatory standards, upholding ethical AI principles in every deployment

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications: 

  • Bachelor's degree or equivalent experience
  • 5 years of professional software engineering experience delivering high-quality, production-grade commercial applications
  • 3 years of hands-on experience with Java, Python, and SQL
  • 2 years of AI/ML engineering experience, including deploying models at scale and contributing to technical leadership
  • 1 years of experience with cloud-native architectures (specifically AWS, Azure, or GCP)
  • 1 years of experience with Databricks, PySpark, and data pipeline implementation
  • Experience with containerization (Docker) and building/maintaining CI/CD pipelines

 

Preferred Qualifications:  

  • Expertise in Generative AI solutions, specifically utilizing RAG, LangChain, and Vector Databases
  • Experience with big data technologies such as Spark, Hadoop, and Kafka
  • Proven solid knowledge of infrastructure as code (Terraform or CloudFormation)
  • Experience with data governance and platform-level controls (e.g., Unity Catalog, Delta Lake)
  • Demonstrated solid foundation in data science principles, including statistics, probability theory, and optimization

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 to $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

 

 

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

 

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.


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