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Vector Ai Jobs in Minnesota (NOW HIRING)

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Leverage LLM frameworks, vector databases, and prompt engineering to solve real problems * Integrate cloud AI services and build custom AI tooling when needed * Ship production-grade code that ...

Programmers.io

AI Lead

Minneapolis, MN · On-site

... vector databases, indexing strategies (like chunking, hierarchical indexing), and hybrid search ... AI models. o Experience with large language models (LLMs) such as GPT, BERT, and OpenAI's fine ...

Deloitte

Google AI Architect

Minneapolis, MN

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

KLDiscovery

AI Architect

Eden Prairie, MN · On-site

$190K - $230K/yr

Define the end-to-end gen AI architecture across Nebula and CS & Operations, covering LLMs, agent harnesses, RAG, vector search, embeddings, and model selection and triage. Build the hardest parts ...

Thomson Reuters

Senior Inference Engineer - AI

Eagan, MN · On-site

$106K - $146K/yr

Familiarity with vector search systems (OpenSearch vectors) and retrieval augmented generation ... The AI system acts as a supporting tool, but there is always a human making the decision if you ...

THOMSON REUTERS

Senior Inference Engineer - AI

Eagan, MN · Hybrid

$106K - $146K/yr

Familiarity with vector search systems (OpenSearch vectors) and retrieval augmented generation ... The AI system acts as a supporting tool, but there is always a human making the decision if you ...

Collaboration.Ai

Senior Software Engineer

Minneapolis, MN · On-site +1

$127K - $168K/yr

Own retrieval quality - hybrid search combining vector, keyword, and metadata retrieval, continuously improved through reranking, query expansion, and contextual compression * Accelerate with AI ...

Blank Metal Inc

Senior AI Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

Expert knowledge of LLM APIs, vector databases, prompt engineering, agents, and emerging AI tools * Full-Stack Fluency : Advanced development skills across frontend, backend, and infrastructure * AI ...

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All JobsVector Ai JobsVector Ai Jobs in Minnesota

Vector Ai information

What is a Vector AI?

Vector AI typically refers to professionals or technologies focused on vector-based artificial intelligence, which involves the use of high-dimensional vectors to represent data and perform machine learning tasks. These experts work on algorithms that process and analyze vector data for applications like image recognition, natural language processing, and recommendation systems. Their work is crucial in making AI systems more efficient at understanding complex patterns in large datasets. In some contexts, 'Vector AI' may also refer to companies or platforms developing such technologies.

What are the key skills and qualifications needed to thrive as a Vector AI engineer?

To thrive as a Vector AI Engineer, you need strong foundations in mathematics, machine learning, and computer science, often supported by a degree in a related field. Expertise with vector databases (such as Pinecone or FAISS), programming languages like Python, and knowledge of frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving, analytical thinking, and effective communication skills help you translate complex business requirements into scalable AI solutions. These qualifications are crucial for developing, deploying, and maintaining efficient AI systems that leverage vector search and representation for real-world applications.

What are some common challenges faced by professionals working in Vector AI roles, and how can they be addressed?

Professionals in Vector AI roles often face challenges such as managing large-scale, high-dimensional data, ensuring model scalability, and optimizing search algorithms for speed and accuracy. Collaborating closely with data engineers, software developers, and product managers is crucial to integrate AI vector solutions effectively into products. Staying updated on the latest advancements in vector databases and similarity search techniques can also be demanding, so continuous learning and participation in relevant communities are highly beneficial. Adopting best practices for model evaluation and experiment tracking can help address these challenges and drive project success.

What is the difference between Vector Ai vs Data Analyst?

AspectVector AiData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, data science, or related field
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, software developmentData interpretation, reporting, decision support

Vector Ai professionals focus on developing and implementing AI algorithms, requiring technical skills and programming knowledge. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles handle data, Vector Ai is more specialized in AI technology, whereas Data Analysts focus on data insights and reporting.

What are popular job titles related to Vector Ai jobs in Minnesota?

For Vector Ai jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Vector Ai jobs in Minnesota look for?

The top searched job categories for Vector Ai jobs in Minnesota are:

Vector Ai jobs near you
Infographic showing various Vector Ai job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI/ML Tech Lead / Architect - Gen AI & Agentic AI)

Minneapolis, MN • On-site

Nanda Technologies
See more jobs at Nanda Technologiesexternal

Contractor

Re-posted 17 days ago

Job description

Email: paul@nandatechnologies.com

Job ID: JPC 6845-1-11/17

Job Title: AI/ML Tech Lead / Architect (Gen AI & Agentic AI)
Location: Minneapolis, MN (Onsite – Local Candidates Only)

Required exp: 12+ years

Visa: USC, GC, H4EAD
Client: Optum
Duration: Long-Term Contract

Key Responsibilities

  • Lead the architecture, design, and development of AI/ML, Gen AI, and Agentic AI solutions.
  • Provide hands-on technical leadership to engineering and data science teams.
  • Architect scalable and secure AI systems, integrating LLMs, vector databases, and agent frameworks.
  • Collaborate with product, data, and engineering teams to define technical roadmaps and solution strategies.
  • Oversee deployment, optimization, and performance tuning of AI solutions in production environments.
  • Ensure adherence to enterprise standards, security guidelines, and best practices.

Required Skills

  • 10+ years of experience in AI/ML engineering, solution architecture, or related roles.
  • Deep expertise in Generative AI, LLMs, prompt engineering, and Agentic AI systems.
  • Strong hands-on experience with Python, ML frameworks (TensorFlow, PyTorch), and LLM ecosystems.
  • Experience with vector databases (FAISS, Pinecone, Weaviate, etc.) and retrieval-augmented generation (RAG).
  • Solid understanding of cloud platforms (AWS/Azure/GCP) and MLOps pipelines.
  • Proven background in architecting enterprise-grade AI solutions.
  • Experience with multi-agent frameworks, orchestration tools, or autonomous agent systems.
  • Background in healthcare or payer/provider environments.
  • Certifications in AI/ML, cloud, or architecture disciplines.