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Mistral Jobs in Wisconsin (NOW HIRING)

Claude AI Enterprise Architect

Milwaukee, WI ยท On-site

$68 - $87.75/hr

Anthropic Claude (primary), Gemini, Llama 3, Mistral, AWS Bedrock * Agentic & GenAI: LangGraph, Crew AI, MS Autogen, LangChain, Azure OpenAI, Azure AI Search, Copilot Studio * Programming: Python

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Previous Bobst Expertfold 110, Domino 110, Mistral 110, Masterfold 15 or Domino 90 Folder/Gluer experience preferred (other makes and models will be considered). * Able to perform work-related ...

Mistral information

See Wisconsin salary details

$15.1K

$243.6K

$390.6K

How much do mistral jobs pay per year?

As of Jul 26, 2026, the average yearly pay for mistral in Wisconsin is $243,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $201,900.00 and $302,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Mistral Engineer, you need a solid background in software engineering, machine learning, and natural language processing, often supported by a degree in computer science or a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience with distributed systems, and version control tools such as Git are typically required. Strong problem-solving skills, collaboration, and adaptability help individuals excel in this dynamic, innovative environment. These competencies are crucial for driving advancements in AI technology and delivering robust, scalable solutions.

What are Mistral jobs?

Mistral jobs refer to roles related to Mistral, which can indicate either a workflow orchestration service in IT or positions at Mistral AI, a company specializing in artificial intelligence and large language models. In the context of workflow orchestration, Mistral jobs involve creating, managing, and monitoring automated workflows, often in cloud or DevOps environments. At Mistral AI, jobs can include research, software engineering, and AI model development. Responsibilities usually focus on building scalable, efficient systems or advancing state-of-the-art machine learning technologies.

What is the difference between Mistral vs Data Scientist?

AspectMistralData Scientist
Required CredentialsTypically requires a background in engineering, physics, or related fields; certifications are optionalRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentOften works in research labs, tech companies, or startups focusing on AI and machine learningWorks in various industries including finance, healthcare, and tech, analyzing data to inform decisions
Employer & Industry UsageUsed mainly in AI research and development, especially in natural language processingWidely used across industries for data analysis, predictive modeling, and business insights

While both Mistral and Data Scientists work with advanced technology, Mistral typically focuses on AI research and development, often requiring a strong engineering background. Data Scientists analyze data to generate insights across industries. The roles overlap in technical skills but differ in focus and application.

What are some typical challenges faced by Mistral engineers when integrating AI models into production environments?

Mistral engineers often encounter challenges such as ensuring model scalability, managing latency, and maintaining robust security when deploying AI models into production. They must frequently collaborate with data scientists, DevOps, and product teams to fine-tune models, monitor real-world performance, and address unexpected behavior. Staying updated with rapid advancements in machine learning frameworks and cloud infrastructure is also crucial. Effective communication and agile problem-solving are key to overcoming these hurdles and delivering reliable AI solutions.
What are popular job titles related to Mistral jobs in Wisconsin? For Mistral jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Mistral jobs in Wisconsin look for? The top searched job categories for Mistral jobs in Wisconsin are:
What cities in Wisconsin are hiring for Mistral jobs? Cities in Wisconsin with the most Mistral job openings:
Infographic showing various Mistral job openings in Wisconsin as of July 2026, with employment types broken down into 89% Full Time, 5% Part Time, 4% Contract, and 2% Nights. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $243,552 per year, or $117.1 per hour.
Claude AI Enterprise Architect

Claude AI Enterprise Architect

47Billion

Milwaukee, WI โ€ข On-site

$68 - $87.75/hr

Other

Posted 4 days ago


Job description

Job Title: Claude AI Enterprise Architect

Location: Milwaukee, WI

Job Description:

  • Setup End-to-end Claude Platform Enablement enterprise set-up, admin, SSO, RBAC and workspace provisioning for large-scale rollouts.
  • Architect Claude Agent SDK based agentic platform supporting Deep and Shallow Agents with extensive MCP tooling.
  • Designs reusable Claude Skills, Sub-Agents and MCP connectors, and packages capabilities for team-wide sharing.
  • Build greenfield Claude infrastructure on Azure & AWS secure multi-tenant architecture, private networking, API gateways, CI/CD & observability.
  • Established Claude enterprise guardrails, AI governance, Responsible AI, AgentOps, content moderation & compliance controls.
  • Advanced agentic AI on Claude multi-agent orchestration, human-in-the-loop, prompt governance & evaluation pipelines.
  • Hands-on with the full Claude build pattern Skills encode the workflow, Sub-Agents execute & self-check, MCP provides governed data access.
  • Experience in delivered Claude-based agentic solutions for manufacturing clients across North America.
  • Establishes delivery capability & showcase demos, and coaches practitioners on effective Claude usage patterns.
  • Ability to work with multiple BU and enable Claude rollouts.

Skills

  • Claude Stack: Claude Agent SDK, Deep & Shallow Agents, Skills, Sub-Agents, MCP tooling, GraphRAG on Claude
  • Enablement: Reusable skills & agent design, build-pattern coaching, showcase demos, best-practice usage patterns
  • LLMs: Anthropic Claude (primary), Gemini, Llama 3, Mistral, AWS Bedrock
  • Agentic & GenAI: LangGraph, Crew AI, MS Autogen, LangChain, Azure OpenAI, Azure AI Search, Copilot Studio
  • Programming: Python