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Ai Integration Engineer Jobs in Wisconsin (NOW HIRING)

AgSource

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Understand customer challenges and how integrating AI capabilities can help lead to solutions that ...

Urus Group LP

AI Engineer

Watertown, WI · On-site +1

VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications ... Understand customer challenges and how integrating AI capabilities can help lead to solutions that ...

Husch Blackwell LLP

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Husch Blackwell Llp

Senior Software Engineer

Madison, WI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Husch Blackwell Llp

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Husch Blackwell LLP

Senior Software Engineer

Milwaukee, WI · On-site +1

$120K - $158K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

8100 United States - Genesys Cloud Services, Inc.

WI · On-site

$205.20 - $360.80/hr

Design and implement integrations with CRM, ERP, CCaaS, knowledge management, workforce engagement ... Mentor engineers and architects on AI solution design, development practices, and emerging ...

HirexHire

IFD AI Engineer

Milwaukee, WI · Remote

ABOUT US HirexHire (pronounced hire by hire) is a recruiting and talent consultancy that integrates ... THE ROLE Our client is seeking an Internal Forward Deployed AI Engineer to build and deploy AI ...

Accenture

SCADA Migration & Integration Lead

Milwaukee, WI · On-site

$69.75 - $90/hr

... AI to create value at speed across the enterprise, bringing together the talent of our ... We are Supply Chain and Engineering: We embed innovation, intelligence, and sustainability in the ...

New

Genesys Cloud Services, Inc.

WI · On-site

$205.20 - $360.80/hr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site ... Experience integrating AI solutions with CRM, ERP, Service Management, and enterprise workflow ...

Genesys

WI · On-site

$205.20 - $360.80/hr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site ... Experience integrating AI solutions with CRM, ERP, Service Management, and enterprise workflow ...

Gainwell Technologies

WI · On-site

$147.20 - $210.30/hr

System Integration - Implement and optimize AI models within Gainwell's existing technology stack, collaborating with software engineers to ensure seamless integration. * Performance Optimization ...

New

Direct Supply, Inc.

AI Engineer

Milwaukee, WI · On-site

We're hiring engineers to design, ship, and operate those systems in production. This role spans ... Experience integrating AI solutions into existing, established products. * Experience working with ...

Johnson Controls

AI Engineer

Glendale, WI · On-site

This AI/ML Engineer role sits at the center of that transformation. You will do two things in ... Build and maintain data pipelines, model integration layers, and inference infrastructure for real ...

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Showing results 41-60

All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Wisconsin

Ai Integration Engineer information

See Wisconsin salary details

$44.9K

$125.4K

$175.1K

How much do ai integration engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai integration engineer in Wisconsin is $125,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $141,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by AI integration engineers when deploying machine learning models into existing business systems?

AI Integration Engineers often encounter challenges such as ensuring compatibility between machine learning models and legacy systems, managing data privacy and security, and optimizing model performance for real-time applications. They must also address issues related to model scalability and monitoring, as well as facilitate smooth collaboration between data science, IT, and business teams. Overcoming these challenges requires strong problem-solving skills, effective communication, and a deep understanding of both AI technologies and enterprise infrastructure.

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

To thrive as an AI Integration Engineer, you need a solid background in computer science, programming (Python, Java, or similar), and experience with AI/ML frameworks, often supported by a bachelor's degree in a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), API development, and tools like TensorFlow or PyTorch is typically required. Strong problem-solving abilities, collaboration, and clear communication are essential soft skills for bridging technical and business needs. These competencies ensure successful deployment and seamless integration of AI solutions into existing systems, driving innovation and business value.

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

AspectAi Integration EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; certifications in AI/ML toolsBachelor's or higher in CS, Statistics, or related; advanced degrees common
Work EnvironmentDeveloping and deploying AI solutions, integrating AI APIs into applicationsAnalyzing data, building predictive models, interpreting complex datasets
Employer & Industry UsageTech companies, AI service providers, software firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, the Ai Integration Engineer focuses on implementing and integrating AI solutions into applications, whereas the Data Scientist analyzes data to develop models and insights. The roles often overlap but differ mainly in their primary focus: deployment versus analysis.

What is an AI integration engineer?

AI Integration Engineers are professionals who specialize in implementing artificial intelligence solutions into existing systems, products, or workflows. They work closely with data scientists, software developers, and business teams to ensure that AI models and technologies are effectively deployed and seamlessly integrated. Their responsibilities often include customizing AI tools, developing APIs, ensuring data compatibility, and monitoring performance post-integration. These engineers play a crucial role in bridging the gap between AI research and practical business applications.

Are AI Integration Engineers highly paid?

AI Integration Engineers typically earn higher-than-average salaries due to their specialized skills in AI systems, programming, and data analysis. Compensation varies based on experience, location, and industry, but they are generally well-compensated compared to many other engineering roles.
What are popular job titles related to Ai Integration Engineer jobs in Wisconsin? For Ai Integration Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Ai Integration Engineer jobs in Wisconsin look for? The top searched job categories for Ai Integration Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Ai Integration Engineer jobs? Cities in Wisconsin with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,437 per year, or $60.3 per hour.

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 11 days ago

Job description


VAS is seeking an AI Engineer to lead building of scalable real-time production grade applications that use AI/ML models. This is a strategic, hands-on position for an experienced technical leader who has a track record of shipping AI-enhanced customer applications and tooling used by engineering teams.
This role will be focused on embedding LLMs, agent-based systems, and automation into core development workflows-boosting productivity, reducing manual toil, and accelerating delivery, essentially transforming how our engineers build, test, and ship software.
Responsibilities
  • Understand customer challenges and how integrating AI capabilities can help lead to solutions that have AI as a differentiator.
  • Identify opportunities to apply AI for efficiency, growth, and customer value.
  • Drive awareness of AI capabilities and demonstrate how it can address customer needs, improve efficiency, reduce costs, and drive growth.
  • Drive transformation from AI-Ad Hoc to AI-Native engineering practices.
  • Serve as the AI technical SME, conduct R&D (research and development) to meet the needs of our AI strategy.
  • Continuously assess emerging AI tools and make data-driven recommendations.
  • Measure & Accelerate Adoption: Establish KPIs, track progress from the current to 100% adoption, implement interventions to accelerate uptake and communicate impact.
  • Build Center of Excellence: Create forums for knowledge sharing, celebrate wins, and foster peer-to-peer learning.
  • Establish AI governance frameworks and guardrails covering compliance, security, privacy, and ethical AI practices, and embed them into development workflows.
  • LLM Agents & Prompt Engineering
    • Architect and implement LLM agents.
    • Build composable, tool-augmented reasoning chains (e.g., RAG, CoT, ReAct, planner-executor).
    • Integrate vector databases and knowledge graphs to support retrieval-augmented generation (RAG).
    • Design and maintain high-quality prompt strategies for robustness and reliability.
  • Model Context Protocol (MCP) & Backend
    • Develop and maintain scalable APIs, supporting synchronous and asynchronous agent execution.
    • Integrate Model Context Protocol (MCP) to enable secure and structured access to external data and tools within agent workflows.
    • Implement state tracking, context-aware input dispatch, and modular plugin integration within the control plane.
  • Evaluation, Testing & Observability
    • Build unit and behavioral tests for agents, tools, and workflows.
    • Develop tooling for trace analysis, agent state debugging, and hallucination tracking.
    • Compare and benchmark agent orchestration frameworks for trade-offs in speed, reliability, and usability.
  • Model Fine-Tuning & MLOps
    • Integrate, deploy, fine tune and monitor models in production using cloud providers.
    • Set up agent logging, observability dashboards, and recovery workflows.
  • Front-end & User Experience
    • Collaborate with front-end developers or build user-facing components using React, TypeScript.
    • Ensure seamless user and agent interaction via UI and API bridges.

Education & Experience Requirements
  • Bachelor of Science in Software Engineering, Computer Science, Data Science, AI/ML or related field preferred.
  • 10+ years of experience in software development and design.
  • Proven experience in AI/ML solution design and hands experience with AI-powered development tools. 3+ years of experience preferred.
  • Strong knowledge of Large Language Models, Generative AI, NLP, and Machine Learning concepts. (3+ years of experience preferred).
  • Hands-on experience with deep learning frameworks.
  • Experience with RAG pipelines, vector databases, and agentic frameworks.
  • Familiarity with cloud-based AI services.

About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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