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Crewai Jobs in Minnesota (NOW HIRING)

Abotts Inc

Senior AI Engineer

Eden Prairie, MN · On-site

$120 - $160/hr

Familiarity with agent frameworks (LangGraph, AutoGen, Semantic Kernel, CrewAI, Claude Agent SDK). * Experience with MLOps / LLMOps tooling -- MLflow, Kubeflow, Weights & Biases, Vertex AI Pipelines.

Boston Scientific

Senior AI Solutions Lead

Arden Hills, MN · On-site

$58 - $74.75/hr

Proven experience with agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or similar technologies. * Familiarity with vector databases, embedding strategies and search ...

Boston Scientific

Senior AI Solutions Lead

Arden Hills, MN · On-site

$58 - $74.75/hr

Proven experience with agentic AI frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI or similar technologies. * Familiarity with vector databases, embedding strategies and search ...

Kobie Marketing

AI Engineer

Minneapolis, MN · On-site

Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse ...

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Crewai information

What is a crewAI?

Crewai is not a traditional job title but rather a term related to CrewAI, an open-source framework that enables the creation and orchestration of collaborative AI agent teams to solve complex tasks. People working with Crewai typically build, configure, or manage multi-agent systems using this framework, often in tech or AI development roles. These professionals leverage agents—autonomous programs—to collaborate, communicate, and achieve shared objectives, streamlining workflows and automating sophisticated processes. Crewai experts are usually skilled in programming, artificial intelligence, and software integration.

What are the key skills and qualifications needed to thrive as a crewAI engineer, and why are they important?

To thrive as a Crew AI Engineer, you need a strong background in computer science, AI/ML algorithms, and proficiency in programming languages like Python or Java, often supported by a relevant degree. Experience with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and possibly certifications like AWS Certified Machine Learning are typical requirements. Excellent problem-solving skills, teamwork, and adaptability help you stand out in this fast-evolving field. These skills ensure you can design, implement, and maintain robust AI systems that enhance team productivity and drive innovation.

What are some common challenges faced when coordinating tasks within a crewAI team, and how can they be effectively managed?

Crewai team members often work in dynamic, cross-functional groups, which requires effective communication and adaptability. Common challenges include aligning schedules across different time zones, ensuring clear task delegation, and maintaining consistent progress updates. These challenges can be managed by using collaborative project management tools, setting regular check-ins, and fostering a transparent team culture. Open communication and proactive problem-solving help ensure everyone stays informed and engaged.

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

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

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

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

What cities in Minnesota are hiring for Crewai jobs?

Cities in Minnesota with the most Crewai job openings:

Crewai jobs near you
Infographic showing various Crewai job openings in Minnesota as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 93% In-person, and 7% Remote job distribution.

Cloud Data & AI Architects

Minneapolis, MN • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees
Learn more about Judge Group, Inc.external

$170K - $175K/yr

Other

Posted 14 days ago

Job description

Location: Minneapolis, MN Salary: $170,000.00 USD Annually - $175,000.00 USD Annually Description:
Cloud Data & Ai Architects
Minneapolis and Dallas
Fulltime
Must Have Technical/Functional Skills
Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
Design data integration and data pipeline patterns
Should be able to evaluate new technologies and run proof of concepts.
Should be able to set data and AI strategy for data organization.
Established data Quality, lineage and metadata standards
Ensured compliance with privacy, security and regulation
Drives adoption of responsible AI frameworks
Created architectural guardrails
Drive consensus on standards (eg data contracts, lineage) across different data organizations
Reviews design and elevate architectural thinking across teams
Creates reusable patterns, templates and reference architectures
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Design and implement AI and Gen AI solution for data value chain
Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Experience with A2A orchestration, agent memory strategies, and tool calling.
Strong grasp of enterprise architecture, data governance, and security protocols.
Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and MLOps pipelines.
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities:
Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
Design and implement AI and Gen AI solution for data value chain
Design data integration pipelines (batch, real-time, big data) and analytics platforms
Define and implement data governance, quality, meta data, and lineage frameworks and should be able to leverage GenAI capabilities.
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 Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any:
15-20 years of experience in data architecture, data engineering, and analytics platforms
Strong consulting experience in large BFSI transformation programs
Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
Design and implement AI and Gen AI solution for data value chain
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Experience with cloud data services in aws,azure,Google Cloud Platform
Strong background in data integration, reporting, and big data ecosystems
Experience working in regulated environments with data governance and compliance requirements
Excellent stakeholder communication and leadership skills
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