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Ai Automation Engineer Jobs in Michigan (NOW HIRING)

Beacon Specialized Living

AI/RPA Engineer

Kalamazoo, MI · On-site

$175K - $200K/yr

... AI Agent framework supporting: • Task automation • Data retrieval and summarization • ... LLM Engineering & MLOps • Implement and manage LLM integrations including: • Secure prompt ...

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... AI & Automation * Develop automated workflows using AI, APIs, application platforms, and custom ...

Stenger & Stenger PC

RPA Engineer

Grand Rapids, MI · On-site

C. is looking for an RPA Engineer to design, build, and maintain automated workflows using UiPath ... Experience with OCR and AI-assisted document processing technologies * Prior experience automating ...

Posted today

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... AI & Automation * Develop automated workflows using AI, APIs, application platforms, and custom ...

JNS

Automation Integration Developer

Ann Arbor, MI · On-site

$23 - $28/hr

Automation Integration Developer Position Summary The Automation Integration Developer supports ... AI & Automation * Develop automated workflows using AI, APIs, application platforms, and custom ...

DISHER

Automation Robotics Engineer

Comstock Park, MI · On-site

Automation Robotics Engineer - Comstock Park, MI DISHER is currently partnering with a world ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

DISHER

Automation Robotics Engineer

Comstock Park, MI · On-site

Automation Robotics Engineer - Comstock Park, MI DISHER is currently partnering with a world ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

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All JobsAi Automation Engineer JobsAi Automation Engineer Jobs in Michigan

Ai Automation Engineer information

See Michigan salary details

$32.2K

$93.4K

$142.1K

How much do ai automation engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ai automation engineer in Michigan is $93,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,400.00 and $107,600.00 per year, depending on experience, location, and employer.

What is an AI automation engineer?

AI Automation Engineers are professionals who design, develop, and implement artificial intelligence solutions to automate tasks and workflows within organizations. They combine expertise in AI, machine learning, and software engineering to create systems that can perform repetitive or complex tasks efficiently with minimal human intervention. Their work often involves building and integrating AI models, optimizing processes, and ensuring the reliability and scalability of automated solutions. These engineers collaborate closely with data scientists, software developers, and business stakeholders to align automation initiatives with organizational goals.

What skills and qualifications are needed to thrive as an AI automation engineer?

To thrive as an AI Automation Engineer, you need strong programming skills (such as Python), a solid understanding of machine learning concepts, and typically a degree in computer science, engineering, or a related field. Familiarity with automation frameworks, cloud platforms (like AWS, Azure, or GCP), and machine learning libraries (such as TensorFlow or PyTorch) is often required. Problem-solving ability, adaptability, and effective communication are crucial soft skills for collaborating across teams and addressing complex technical challenges. These skills ensure the successful design, implementation, and scaling of automated AI solutions that drive business efficiency and innovation.

What are common challenges faced by AI automation engineers during project implementation?

AI Automation Engineers often encounter challenges such as integrating new AI models with existing legacy systems, ensuring data quality for accurate model outputs, and managing stakeholder expectations regarding automation outcomes. They must also address issues related to model scalability and robustness, especially when deploying solutions in dynamic production environments. Collaboration with cross-functional teams—including data scientists, software engineers, and business analysts—is essential to navigate these complexities and deliver effective automation solutions.

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

AspectAi Automation EngineerData Scientist
Required CredentialsBachelor's in Computer Science, Engineering, or related field; knowledge of AI, automation toolsBachelor's or higher in Statistics, Computer Science, or related; strong analytical skills
Work EnvironmentTech companies, automation firms, R&D labs; focus on developing AI-driven automation solutionsData analysis teams, research institutions; focus on data modeling and insights
Employer & Industry UsageUsed in manufacturing, software development, AI startupsUsed across finance, healthcare, marketing, and tech sectors
Common Search & Comparison IntentUnderstanding roles in AI automationExploring data analysis careers

While both roles involve working with data and AI, Ai Automation Engineers focus on developing automated AI systems and integrating AI into processes. Data Scientists analyze data to extract insights and build models. The roles overlap in AI knowledge but differ in application and focus areas.

Is AI automation a high paying job?

AI automation engineers typically earn higher-than-average salaries due to their specialized skills in machine learning, programming, and data analysis. Salaries vary based on experience, location, and industry, but the role is generally considered well-compensated within the tech field.

Is AI automation engineer in demand?

AI automation engineers are in high demand due to the increasing adoption of artificial intelligence and automation across industries. They are needed to develop, implement, and maintain AI-driven systems, often requiring skills in machine learning, programming, and data analysis. Job opportunities are growing as companies seek to improve efficiency and innovation through automation technologies.

What are popular job titles related to Ai Automation Engineer jobs in Michigan?

For Ai Automation Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Automation Engineer jobs in Michigan look for?

The top searched job categories for Ai Automation Engineer jobs in Michigan are:

What cities in Michigan are hiring for Ai Automation Engineer jobs?

Cities in Michigan with the most Ai Automation Engineer job openings:

Ai Automation Engineer jobs near you
Infographic showing various Ai Automation Engineer job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $93,371 per year, or $44.9 per hour.

AI/RPA Engineer

Beacon Specialized Living

Kalamazoo, MI • On-site

$175K - $200K/yr

Full-time

Posted 27 days ago

Beacon Specialized Living rating

5.5

Company rating: 5.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

171st of 242 rated social care providers

Job description

Position Summary:
This role will be responsible for developing secure, compliant AI infrastructure and reusable frameworks that enable internal teams and external consultants to build and deploy AI agents for Operations, Human Resources, Admissions, and IT, while also supporting advanced LLM-driven clinical and client risk use cases integrated with Beacon's EHR, eMAR, HRIS, CRM, and incident management systems.
NOTE: **Applicants must be legally authorized to work in the United States**
Primary Responsibilities:
• Always be compliant with all company and regulatory policies and procedures.
• Design and maintain an enterprise AI Agent framework supporting:
• Task automation
• Data retrieval and summarization
• Workflow orchestration
• Human-in-the-loop approvals
• Build shared services including:
• Prompt management and versioning
• Tool and API integration layers
• Authentication, role-based access, and audit logging
Clinical AI & Client Risk Intelligence
• Develop and support LLM-powered clinical and risk-focused solutions such as:
• Behavioral and incident pattern analysis
• Medication adherence and documentation quality monitoring
• Early-warning indicators for client risk and escalation
• Integrate AI outputs into clinical workflows, dashboards, and alerts.
• Partner with clinical leadership to ensure interpretability and usability of AI insights.
LLM Engineering & MLOps
• Implement and manage LLM integrations including:
• Secure prompt pipelines
• Retrieval-Augmented Generation (RAG) using enterprise data
• Model evaluation and drift monitoring
• Deploy AI services using scalable cloud-native architecture (APIs, containers, CI/CD).
• Optimize performance, cost, and latency across production AI workloads.
Data Integration & Platform Collaboration
• Work with Data Engineering to leverage:
• Microsoft Fabric
• Azure Data Lake
• Power BI semantic models
• Integrate data from:
• EHR and eMAR platforms
Education and Qualifications:
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• 5+ years of experience in software engineering, data engineering, or AI engineering.
• Hands-on experience with:
• LLM APIs and orchestration frameworks
• Prompt engineering and RAG architectures
• API and microservice development

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