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Ai Solutions Engineer Jobs in Wisconsin (NOW HIRING)

AI Solutions Engineer

Milwaukee, WI · On-site

$12.75 - $16.75/hr

AI Solutions Engineer Are you passionate about business and technology coming together to deliver the future of finance and accounting services to a variety of clients? Would you like to work with ...

AI Solutions Engineer

Milwaukee, WI · On-site

$15.25 - $20.25/hr

AI Solutions Engineer Are you passionate about business and technology coming together to deliver the future of finance and accounting services to a variety of clients? Would you like to work with ...

WI · On-site

$140 - $200/hr

We are looking for someone who can partner with business leaders, engineers, analysts, and operations teams to design, build, deploy, and operate AI solutions that create measurable business value ...

AI Solutions Architect

Milwaukee, WI · On-site

$62 - $81.50/hr

In the AI Solutions Architect position, you'll design and deliver scalable, AI-powered solutions ... Required : • Bachelor's degree in Computer Science, Engineering, or related field. • 10+ years ...

AI Solutions Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... You'll act as a technical leader, connecting engineering, product, and customer-facing teams to ...

AI Solutions Architect

Milwaukee, WI · On-site

$62 - $81.75/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... You'll act as a technical leader, connecting engineering, product, and customer-facing teams to ...

AI Solutions Architect

Milwaukee, WI · On-site

$120 - $160/hr

In the AI Solution Architect position, you'll design and deliver scalable, AI-powered solutions ... You'll act as a technical leader, connecting engineering, product, and customer-facing teams to ...

AI Solutions Engineering Delivery Lead

Milwaukee, WI · On-site

$101K - $133K/yr

The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design ...

The IT Manager of AI Solutions Engineering will help define and execute Michels' enterprise AI strategy, leading the team responsible for delivering scalable, adopted AI capabilities. As a founding ...

Design and engineer Agentic AI integrations that sit on top of legacy architecture, specifically ... Ensure AI solutions are seamlessly integrated into existing workflows; establish performance ...

Design and engineer Agentic AI integrations that sit on top of legacy architecture, specifically ... Ensure AI solutions are seamlessly integrated into existing workflows; establish performance ...

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Ai Solutions Engineer information

See Wisconsin salary details

$44.9K

$124.4K

$183.2K

How much do ai solutions engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai solutions engineer in Wisconsin is $124,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $141,800.00 per year, depending on experience, location, and employer.

What is an AI Solutions Engineer?

AI Solutions Engineers are professionals who design, develop, and implement artificial intelligence-based systems and applications to solve business problems. They bridge the gap between AI research and practical deployment, working closely with data scientists, software engineers, and business stakeholders. Their responsibilities often include creating AI models, integrating them into products or workflows, and ensuring these solutions are scalable, reliable, and aligned with organizational goals.

How does an AI Solutions Engineer typically collaborate with cross-functional teams during a project lifecycle?

AI Solutions Engineers frequently work alongside data scientists, software developers, product managers, and business stakeholders throughout a project's lifecycle. Their role involves translating business requirements into technical AI solutions, integrating models into existing systems, and ensuring seamless deployment. Regular communication and collaboration are essential, as they often lead technical discussions, clarify project goals, and address implementation challenges. This cross-functional teamwork fosters innovation and ensures that AI solutions are practical, scalable, and aligned with business objectives.

What are the key skills and qualifications needed to thrive as an AI Solutions Engineer, and why are they important?

To thrive as an AI Solutions Engineer, you need a strong background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience with AI frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, Azure, or GCP), and proficiency in programming languages like Python are essential, along with certifications in AI or cloud technologies. Excellent problem-solving, communication, and teamwork skills help you translate business needs into technical solutions and collaborate across departments. These competencies ensure effective development, deployment, and integration of AI solutions that drive business value.

What is the difference between Ai Solutions Engineer vs Data Scientist?

AspectAi Solutions EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI/ML toolsBachelor's or higher in CS, Statistics, or related; strong statistical and programming skills
Work EnvironmentDevelops AI solutions, collaborates with engineering teams, implements models in productionAnalyzes data, builds models, interprets results for insights
Employer & Industry UsageTech companies, AI-focused firms, startupsResearch institutions, tech companies, finance, healthcare

While both roles involve AI and data, Ai Solutions Engineers focus on deploying AI solutions in production environments, working closely with engineering teams. Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their focus on implementation versus analysis.

What job categories do people searching Ai Solutions Engineer jobs in Wisconsin look for?

The top searched job categories for Ai Solutions Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Solutions Engineer jobs?

Cities in Wisconsin with the most Ai Solutions Engineer job openings:

Infographic showing various Ai Solutions Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $124,437 per year, or $59.8 per hour.

$55.25 - $71.25/hr

Full-time

Re-posted 26 days ago


Job description

Overview

Architect, develop, and deploy software solutions at high velocity using an AI-first, agentic development workflow.  This role demands a language-agnostic polyglot developer who leverages LLM-powered coding agents as a force multiplier to deliver 10x the output of traditional development approaches.  Additional responsibilities include system integrations, BI solutions, and supporting Tech-Ops infrastructure on-premises and in-cloud.

Responsibilities

AI-FIRST SOFTWARE DEVELOPMENT

  • Scope, design, develop, and deploy software applications, integrations, APIs, and database services using agentic LLM coding workflows as the primary development methodology.
  • Maintain and extend existing ERP customizations and develop new solutions across multiple languages and platforms, selecting the best tool for each task.
  • Maintain and extend integration platform operations (e.g., Jitterbit) and CRM customizations (e.g., Salesforce APEX), leveraging AI-assisted coding for rapid iteration.
  • Participate in review / recommendation of externally purchased IT solutions and services.
  • Manage hardware and software vendor relationships
  • Champion and evangelize AI-first development practices across the IT team; mentor peers on agentic coding workflows, prompt engineering, and LLM-augmented development to accelerate team-wide adoption and output.
  • Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute complex development and business automation tasks.
  • Create and maintain documentation, training materials, and AI workflow playbooks for IT systems, software, integrations, APIs, and development procedures

BUSINESS ANALYSIS

  • Work closely with company managers to identify informational needs and develop solutions to provide efficient information processing and valuable information for business analysis
  • Provide lifecycle support of applications and contribute to the development of new concepts, techniques, and standards
  • Implement and manage long-term, system-wide IT initiatives that align with the company's business strategy and objectives 

HARDWARE AND PLATFORM SUPPORT

  • Recommend and participate in the deployment, monitoring, maintenance, development, upgrade and support of IT hardware and software including telecommunications, servers, PC's, operating systems, and office automation equipment - both on premise and in-cloud PaaS & IaaS
  • Benchmark, analyze, report on and make recommendations for improvement of and growth of IT infrastructure and IT systems
  • Recommend efficient and cost-effective technological equipment, systems, platforms and services
  • Identify problematic areas and implement strategic solutions in a timely manner
  • Maintain confidentiality of proprietary information
  • Stay current with rapidly evolving AI/LLM tooling, agentic frameworks, and emerging development paradigms; continuously evaluate and adopt new AI-powered development tools
Qualifications

Education and Experience:

  • Position requires a Bachelor's degree in computer science or related field and a minimum of 6 years progressive experience with 3 years preferably in a mid-sized manufacturing environment. 

  • Candidate must demonstrate a proven AI-first development workflow using agentic LLM coding tools (e.g., Claude Code, GitHub Copilot Workspace, Cursor, Windsurf, or similar) as their primary development method. 

  • Must be a language polyglot comfortable architecting and delivering solutions across multiple technology stacks rather than being tied to a single language or framework. 

  • Required experience includes SQL, RESTful APIs, system integrations, GIT, BI reports/dashboards, databases, and vendor management. 

  • Proficiency in prompt engineering for code generation, agentic task orchestration, and AI-assisted debugging is essential. 

  • Experience with .NET/C#, JavaScript/TypeScript, Python, or other modern languages expected; experience with Epicor, Jitterbit, and Salesforce preferred. 

  • Strong preference for candidates who have built custom LLM agent harnesses, orchestrated multi-agent swarms under a manager/supervisor agent pattern, or developed agentic pipelines that coordinate specialized sub-agents for complex, multi-step workflows.

Knowledge, Skills and Abilities:

  • Proven expertise with agentic LLM coding tools and AI-assisted development workflows. 
  • Ability to work fluently across multiple programming languages and technology stacks without being dependent on any single ecosystem. 
  • Strong prompt engineering skills for code generation, debugging, and architectural planning. 
  • Familiarity with multi-agent system design, including manager-agent orchestration layers and agent swarm coordination patterns. 
  • Read, analyze, and interpret a variety of information, such as technical procedures, business correspondence, and governmental regulations furnished in written, oral or diagram form. 
  • Effectively present information to employees, management, and customers. 
  • Create business-level written correspondence and verbally present information to large or small groups, both internally and externally. 
  • Requires Microsoft Office proficiency and the ability to operate a variety of standard office equipment. 

Working Conditions/Physical Demands:

  • Office environment, with occasional lifting and bending 
Employment Type: FULL_TIME