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Ai Integration Engineer Jobs in Appleton, WI (NOW HIRING)

Keep current with technological advancements in robotic process automation and generative AI and ... General understanding of Continuous Development and Continuous Integration (CI/CD) techniques with ...

Keep current with technological advancements in robotic process automation and generative AI and ... General understanding of Continuous Development and Continuous Integration (CI/CD) techniques with ...

... Integration & Predictive Engineering * Digital Quality Transformation: Partner with operations and functional centers of excellence to lead the adoption of robotics, automation, and generative AI ...

Working closely with project managers, engineers, superintendents, foremen, and equipment operators ... In this role, you'll be responsible for integrating and verifying project data within GPS and ...

Working closely with project managers, engineers, superintendents, foremen, and equipment operators ... In this role, you'll be responsible for integrating and verifying project data within GPS and ...

... AI tools to develop data platforms and data analytics solutions. · Is a trusted advisor in ... DevOps/Continuous integration & continuous delivery · Excellent understanding of data modeling ...

Instructional Designer

Green Bay, WI · On-site +1

$63K - $85K/yr

... of AI and other advanced technologies. The successful candidate will work as part of a ... development programming, and more.A sample of the job responsibilities includes: Key Job ...

Showing results 41-56

Ai Integration Engineer information

See Appleton, WI salary details

$43.4K

$121.3K

$169.3K

How much do ai integration engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for ai integration engineer in Appleton, WI is $121,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $136,600.00 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 cities near Appleton, WI are hiring for Ai Integration Engineer jobs? Cities near Appleton, WI with the most Ai Integration Engineer job openings:
Infographic showing various Ai Integration Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 66% Physical, 5% Hybrid, and 29% Remote job distribution, with an average salary of $121,258 per year, or $58.3 per hour.

Technical Systems Analyst

Network Health WI

Menasha, WI • On-site, Remote

Full-time

Posted 19 days ago


Job description

The Technical Systems Analyst collaborates with business users to recommend and develop automation solutions. This role will be expected to be a subject matter expert in robotic process automation, and the use of generative artificial intelligence (AI).
Location: Candidates must reside in the state of Wisconsin for consideration. This position is eligible to work at your home office (reliable internet is required), at our office in Brookfield or Menasha, or a combination of both in our hybrid workplace model.
Hours: 1.0 FTE, 40 hours per week, 8am-5pm Monday through Friday
Check out our 2025 Community Report to learn a little more about the difference our employees make in the communities we live and work in. As an employee, you will have the opportunity to work hard and have fun while getting paid to volunteer in your local neighborhood. You too, can be part of the team and making a difference. Apply to this position to learn more about our team.
Job Responsibilities:
  • Design solutions that meet the requirements of business requests while upholding the standards and practices set forth within Network Health's Information Systems department
  • Prepare and update business specifications, process flow diagrams ,and technical documentation
  • Accurately translate between highly technical specifications and non-technical requirements
  • Define and coordinate the execution of testing procedures and develops test cases to serve the overall quality assurance process
  • Provide end user support and training of robotic process automation
  • Keep current with technological advancements in robotic process automation and generative AI and advises on new technologies
  • Other duties or responsibilities as assigned

Job Requirements:
  • Requires BS in Computer Science, Business, or related technical field. Relevant experience may be substituted for formal degree work at a rate of 2 years' experience for each year of formal degree work.
  • Minimum of 3 years' experience in development, systems design, technical analyst, or similar discipline required, preferably in a healthcare or health insurance environment
  • Proficiency using UI Path and/or working in data warehousing practices, systems and technologies
  • Experience working on and leading teams leveraging lean, scrum, or object-oriented methodologies with version control, change management, and continuous improvement protocols
  • General understanding of Continuous Development and Continuous Integration (CI/CD) techniques with the ability to support and implement new CI/CD pipelines using Microsoft DevOps
  • Familiarity with automated testing
  • Knowledge healthcare data structures such as HL7 FHIR (STU3, R4), CCD, HIPAA X12 (834, 835, 837)

Network Health is an Equal Opportunity Employer
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.