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Ai Integration Engineer Jobs in Michigan (NOW HIRING)

Deloitte

Integration Engineer II

Detroit, MI

$103K - $138K/yr

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

Wwwinc

Senior Systems Integration Engineer

Rockford, MI

$93K - $127K/yr

As a Senior Systems Integration Engineer you will design, implement, and maintain solutions that ... AI implementations is a strong plus. * Experience with administration of systems integration ...

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All JobsAi Integration Engineer JobsAi Integration Engineer Jobs in Michigan

Ai Integration Engineer information

See Michigan salary details

$38.8K

$108.3K

$151.2K

How much do ai integration engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai integration engineer in Michigan is $108,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $122,000.00 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 Michigan? For Ai Integration Engineer jobs in Michigan, the most frequently searched job titles are:
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What cities in Michigan are hiring for Ai Integration Engineer jobs? Cities in Michigan with the most Ai Integration Engineer job openings:
Ai Integration Engineer jobs near you
Infographic showing various Ai Integration Engineer job openings in Michigan 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 $108,317 per year, or $52.1 per hour.

AI Integration Engineer / Project Manager

Integrity Staffing Group Inc.

Wixom, MI • On-site

$120K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

A national engineering and equipment company with an office in the Wixom, MI area is currently seeking an AI Integration Engineer / Project Manager for a direct hire opportunity with their growing team. This is an exciting opportunity for an AI Integration Engineer / Project Manager who wants to take ownership evaluating different areas of a manufacturing/engineering company and recommending areas that AI can improve and streamline all areas of the business from Engineering to Accounting.


Salary is based on experience and education, but is anticipated to be in the $120,000-$130,000/year range. All well qualified candidates will be considered regardless of pay rate. We offer excellent benefits, bonuses, 401k matching, paid vacation time, and more.


Qualified AI Integration Engineers will have most (if not all) of the following skills and experiences:

  • 5+ years of experience in digital transformation, technology implementation, business process improvement, automation, project management, or a related field.
  • Demonstrated experience implementing AI-enabled tools, workflow automation, or enterprise software solutions.
  • Experience in a manufacturing, engineering, construction, or closely related environment.
  • Strong working knowledge of Microsoft 365/Copilot, Power Platform, ChatGPT, Claude, or similar AI-enabled business tools.
  • Proven ability to identify business challenges, develop practical technology solutions, and train/coach users through implementation and adoption.
  • A BS degree in Information Technology, Computer Science, Business Administration, Data Analytics, Engineering, or closely related field is strongly preferred. Equivalent experience and education will be considered in lieu.
  • Must be able to complete standard pre-hire checks- background, drug screen, references, etc.
  • Must be ITAR Compliant- US Green Card holders / Citizens only. This role will not be able to offer sponsorship now or in the future.