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Vector Databases Jobs in Minnesota (NOW HIRING)

Senior Software Engineer

Eden Prairie, MN · Remote

$124K - $164K/yr

Experience with RAG frameworks, vector databases, LangChain / LangGraphstyle orchestration * Solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering ...

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

Experience with AI platform components such as model registries, vector databases, RAG pipelines, fine-tuning workflows, and inference gateways * Familiarity with cloud automation, management, and ...

Lead AI Platform Engineer

Hopkins, MN · On-site

$104K - $137K/yr

... and vector databases * Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph) * Experience with cloud platforms (Azure and/or AWS) * Deep understanding of distributed ...

Lead AI Platform Engineer

Minneapolis, MN · On-site

$107K - $140K/yr

... and vector databases * Strong knowledge of agentic AI concepts and frameworks (e.g., LangChain, LangGraph) * Experience with cloud platforms (Azure and/or AWS) * Deep understanding of distributed ...

Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding strategies. * Does not make final governance or compliance decisions independently. Requirements:

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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:
Senior Software Engineer

Senior Software Engineer

UnitedHealth Group

Eden Prairie, MN • Remote

$124K - $164K/yr

Full-time

Retirement

Posted 18 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 is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. 

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

  • Lead architecture and delivery of ML/GenAI solutions (classification, forecasting, NLP, deep learning, LLM apps) at production scale
  • Build robust data/feature pipelines over large clinical/claims datasets; write efficient, well-tested Python (pandas/NumPy) and SQL
  • Develop and deploy LLM capabilities: prompt design, fine-tuning, RAG pipelines, vector indexing, and evaluation with guardrails
  • Work closely with lead engineers to develop the best technical design and approach for new product development
  • Collaborates closely with Business Analysts on developing requirements and may assist with estimating
  • Instill best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules
  • Translate business requirements into technical solutions, recommend alternative technical and business approaches, and lead engineering efforts to meet aggressive timelines with optimal solutions
  • Operational Excellence - build, deploy, monitor, and operation of production services
  • Establish LLMOps best practices: CI/CD, model registry, experiment tracking, monitoring, drift detection, A/B testing, cost/perf optimization
  • Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activities across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps
  • These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output
  • This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways
    • Reviews the work of others
    • Develops innovative approaches
    • Sought out as expert
    • Serves as a leader/ mentor
  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI 

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions 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 in Computer Science or equivalent program
  • 5 years of Azure cloud experience
  • 2 years of AI experience
  • 2 years of AI experience, LLMs, embeddings, RAG, fine-tuning, evaluation
  • Familiarity with Hugging Face and LangChain/LlamaIndex

Preferred Qualifications:

  • Strong foundation in machine learning, statistics, optimization, and probability
  • Handson experience with:
    • Classical ML, deep learning, and Generative AI models
    • Model evaluation, validation, and performance tuning
  • Proficiency in Python and modern AI libraries
  • Experience with RAG frameworks, vector databases, LangChain / LangGraphstyle orchestration
  • Solid foundation in statistics and ML (hypothesis testing, experimental design, feature engineering, supervised/unsupervised methods)
  • Experience building scalable, cloudnative AI systems (Azure)
  • Strong software engineering practices: GitHub, code reviews, CI/CD

*All Telecommuters 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 $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

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.

#RPO #GREEN


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