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Genai Jobs in Minnesota (NOW HIRING)

Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools. * Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs.

Support the development of full-stack solutions for ML/GenAI applications, integrating both frontend and backend components to deliver robust and scalable solutions Contribute to the ideation and ...

Design robust AI solution architectures including expertise in designing robust Agentic GenAI systems, robust ML & RAG pipelines, Context Engineering pipelines, agentic orchestration, model context ...

Showing results 21-40

Genai information

What is a GenAI?

A GenAI (Generative AI) job involves working with artificial intelligence models that generate text, images, code, or other content. Roles in this field can include AI research, machine learning engineering, prompt engineering, or AI ethics. Professionals in GenAI work with large language models (LLMs) and deep learning frameworks to refine AI-generated outputs and integrate them into applications. These jobs are found in industries like tech, marketing, healthcare, and finance, where AI-powered automation and content generation are valuable.

What are the key skills and qualifications needed to thrive in the GenAI position?

To excel as a GenAI (Generative AI Specialist), you need a strong background in computer science, machine learning, and artificial intelligence, typically with a relevant degree and experience in training large language models. Familiarity with tools and frameworks such as Python, TensorFlow, PyTorch, and cloud platforms is highly valued, along with certifications like AWS Certified Machine Learning or Google Professional Data Engineer. Strong analytical thinking, creativity, and collaborative communication are standout soft skills in this field. These competencies ensure effective model development, seamless teamwork, and the ability to deliver innovative AI solutions in business contexts.

What are the typical day-to-day responsibilities of a GenAI specialist?

As a GenAI Specialist, your typical day may involve designing, developing, and optimizing generative AI models for various applications, such as natural language processing or image synthesis. You'll often collaborate closely with data scientists, software engineers, and product teams to align AI solutions with business needs. Tasks may include data preprocessing, model evaluation, fine-tuning algorithms, and addressing ethical or bias considerations in AI outputs. You may also participate in research initiatives, documentation, and client presentations, offering a dynamic and intellectually stimulating work environment.

What skills do you need for GenAI?

To work in GenAI roles, candidates should have strong programming skills in languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and a solid understanding of natural language processing and deep learning concepts. Knowledge of data preprocessing, model training, and evaluation is also essential, along with problem-solving skills and the ability to work with large datasets. Familiarity with cloud platforms and version control tools can further support success in this field.

What are popular job titles related to Genai jobs in Minnesota?

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

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

The top searched job categories for Genai jobs in Minnesota are:

What cities in Minnesota are hiring for Genai jobs?

Cities in Minnesota with the most Genai job openings:

Infographic showing various Genai job openings in Minnesota as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

AI Architect & Program Manager Go-To-Market Lead

Inficare Technologies

Minneapolis, MN • On-site

$70/hr

Full-time

Re-posted 20 days ago


Job description

Location: Minneapolis, MN or Charlotte, NC
Job Type: Contract
Experience: 4+ years in AI; 3+ years in GTM or solution engineering
Job Overview
Key Responsibilities
  • Define and execute AI platform adoption strategies; drive enterprise usage of LLMs, agent frameworks, APIs, and orchestration platforms
  • Build prototypes, demos, proof-of-concepts, and production-ready AI solutions working directly with business teams
  • Design RAG systems, vector search, multi-agent systems, tool-calling workflows, and memory frameworks
  • Conduct workshops; develop SDKs, prompt libraries, templates, reusable components, and playbooks
  • Present AI concepts and measurable business outcomes to executive stakeholders
  • Ensure compliance with security, risk, regulatory, and Responsible AI governance standards
Required Skills
  • Hands-on GenAI/LLM development experience
  • Strong programming background
  • Azure or GCP cloud platform experience
  • Container technologies: Docker and Kubernetes/OpenShift
  • 3+ years in GTM leadership, technical product management, solution engineering, or forward-deployed engineering
Preferred Skills
  • Generative AI: LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG
  • Agentic AI frameworks: LangChain, LangGraph, AutoGen, ADK, CrewAI
  • LLMOps: evaluation, observability, guardrails, prompt versioning
  • AI development tools: GitHub Copilot, Cursor, Devin
Location & Work Model
Minneapolis, MN or Charlotte, NC
Engagement Details
Contract engagement. Best suited for AI Solution Architects, AI Product Managers with coding skills, Forward-Deployed Engineers, GenAI Consultants, and AI Platform Adoption Leads.