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Ai Integration Engineer Jobs in Michigan (NOW HIRING)

Tech Tammina LLC

AI Engineer/ Developer

Okemos, MI · On-site

Role:: AI Engineer/ Developer Location: Okemos, MI (onsite/ Hybrid) Duration: 12 months+ Rate ... Integrate APIs and handle structured/unstructured data for downstream processing or inference

HARMAN International

Principal Engineer, AI

Novi, MI · On-site

You will lead the development of both prebuilt AI integrations and custom AI/ML solutions, while ... AI Engineering Leadership: * Define best practices for AI solution design, deployment, and ...

Deloitte

AI Engineer Consultant

Detroit, MI · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

OneStream

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Lead AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered ... of the AI integrations delivered. * Develop both client-side and server-side parts of an ...

Deloitte

Google AI Lead Architect

Detroit, MI · On-site

$54.75 - $75/hr

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.

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled applications, tools, agents, and integrations that support business needs across Corning Optical ...

OneStream

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Lead AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits ... of the AI integrations delivered. * Develop both client-side and server-side parts of an ...

G-TECH Services

Mechanical Design Engineer

Warren, MI · On-site

$40 - $43/hr

The Layout Integration Engineer will support the Central Layout Group by developing and integrating ... By submitting your application, you acknowledge that recruiting technologies, including AI-assisted ...

Actalent

Devsecops Engineer

Troy, MI

$49.75 - $68/hr

Evaluate, pilot, and integrate AI capabilities such as AI-assisted code review, automated debugging, and intelligent test selection into development workflows. * Develop and maintain technical ...

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Showing results 21-40

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:
What job categories do people searching Ai Integration Engineer jobs in Michigan look for? The top searched job categories for Ai Integration Engineer jobs in Michigan are:
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 Engineer/ Developer

Tech Tammina LLC

Okemos, MI • On-site

Contractor

Re-posted 16 days ago

Job description

Role:: AI Engineer/ Developer

Location: Okemos, MI (onsite/ Hybrid)

Duration: 12 months+
Rate: Market

Key Responsibilities:

•             Design and build AI-powered proof-of-concepts and experimental tools using Python

•             Rapidly prototype applications that demonstrate new capabilities in LLMs or generative AI

•             Integrate APIs and handle structured/unstructured data for downstream processing or inference

•             Collaborate with cross-functional teams to iterate on design, functionality, and performance

•             Use Git and collaborative development tools to manage and share code

•             Document findings, experiments, and implementation approaches for internal sharing

Required Skills:

•             Proficiency in Python (intermediate to advanced)

•             Ability to independently develop working proof-of-concepts

•             Strong analytical and problem-solving skills

•             Experience working with APIs, JSON, and various data formats

•             Familiarity with Git-based workflows and collaborative coding practices