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Ai Programmer Jobs in Michigan (NOW HIRING)

AI Platform Engineer Location: Hybrid - 4 days/week onsite | Must be willing to interview in person Duration: Long-Term Contract Description: We are seeking a Senior AI Platform Engineer to design ...

As an AI Engineer - Supply Chain, you will design and build production-grade AI agents that execute multi-step workflows, make context-aware decisions, and integrate with enterprise systems through ...

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion ...

Overview The Senior AI Engineer will design, develop, and deploy artificial intelligence and machine learning solutions that support Panasonic Automotive's digital transformation, engineering ...

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw ...

AI Engineer

Grand Rapids, MI · On-site

$50K - $112K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level Associate & Summary The Opportunity As an AI Engineer, you will be at the forefront of transforming raw ...

The Applied AI Engineer turns ideas into production-ready AI solutionsspanning feasibility, data engineering, model development, and integration. Operating within the AI Strategy team, this role ...

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Lead AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision, Medical, Life, Dental, 401K Gross Annual Base Salary :USD 151,000 - 196,000 Additional variable ...

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Description Lead AI Engineer Location : Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 151,000 - 196,000 ...

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Lead AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision, Medical, Life, Dental, 401K Gross Annual Base Salary :USD 151,000 - 196,000 Additional variable ...

Lead AI Engineer

Birmingham, MI

$97K - $128K/yr

Lead AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered : Vision, Medical, Life, Dental, 401K Gross Annual Base Salary : USD 151,000 - 196,000 ...

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data engineering, model development, and integration. Operating within the AI Strategy team, this role ...

As the AI Application Engineer, you'll design and build production-grade user interfaces and application experiences that make AI insights, recommendations, workflows, and agent actions usable by ...

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

The Applied AI Engineer turns ideas into production-ready AI solutions spanning feasibility, data engineering, model development, and integration. Operating within the AI Strategy team, this 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 ...

AI Engineer Location :Hybrid, United States Employment Type :Full-Time Benefits Offered :Vision, Medical, Life, Dental, 401K Gross Annual Base Salary :USD 95,000 - 133,000 Additional variable ...

Showing results 21-40

Ai Programmer information

See Michigan salary details

$10

$34

$59

How much do ai programmer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for ai programmer in Michigan is $34.46, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $44.86 per hour, depending on experience, location, and employer.

What does an AI programmer do?

An AI Programmer develops and implements artificial intelligence algorithms in software applications, such as games, robotics, or machine learning systems. They write code, optimize AI models, and ensure efficient decision-making processes. Their role often involves working with machine learning frameworks, neural networks, and behavior modeling. AI Programmers collaborate with data scientists and developers to create intelligent systems that can learn, adapt, and make automated decisions.

What are the key skills and qualifications needed to thrive in the AI programmer position, and why are they important?

To thrive as an AI Programmer, you need strong proficiency in programming languages such as Python or C++, a solid understanding of machine learning concepts, and often a bachelor's degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch and knowledge of data structures and algorithms are typically required, with certifications in machine learning or AI being advantageous. Analytical thinking, strong problem-solving skills, and effective teamwork are key soft skills that set candidates apart. These competencies enable AI Programmers to design, implement, and optimize intelligent systems that address complex real-world challenges.

What does a typical workday look like for an AI programmer?

A typical workday for an AI Programmer involves designing, coding, and testing machine learning models to solve specific problems or enhance product features. You'll often collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into larger applications or workflows. The role frequently includes experimenting with new algorithms, debugging models, and participating in regular team meetings to discuss project progress. Depending on the company, you may also contribute to code reviews, technical documentation, and ongoing model optimization. This dynamic environment ensures continuous learning and exposure to cutting-edge technologies.

How can I become an AI programmer?

To become an AI programmer, you should develop strong skills in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and gain knowledge of algorithms, data structures, and mathematics including linear algebra and statistics. Earning a relevant degree in computer science, data science, or related fields and gaining practical experience through projects or internships are also important steps.

How much does an AI programmer make?

AI programmers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially with advanced certifications and proficiency in programming languages like Python or frameworks such as TensorFlow.

What are the most commonly searched types of Ai Programmer jobs in Michigan?

The most popular types of Ai Programmer jobs in Michigan are:

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

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

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

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

Infographic showing various Ai Programmer job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $71,675 per year, or $34.5 per hour.

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Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job#: 3043318
Job Description:
Role: AI Platform Engineer
Location: Hybrid - 4 days/week onsite | Must be willing to interview in person
Duration: Long-Term Contract
Description:
We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (Google Cloud Platform). This is a highly technical, hands-on individual contributor role focused on developing production-grade multi-agent AI systems, AI-powered workflows, and developer-facing capabilities.
The ideal candidate will combine deep software engineering expertise with practical experience building and operating LLM-based applications in production environments. This role requires ownership of solution architecture, hands-on development, technical leadership, and cross-functional collaboration to deliver scalable, secure, and observable AI solutions.
Key Responsibilities
AI Solution Architecture
  • Design and implement multi-agent AI systems and agent orchestration frameworks.
  • Evaluate architectural trade-offs, including:
    • Single-agent vs. multi-agent architectures
    • Retrieval-Augmented Generation (RAG) vs. fine-tuning approaches
    • Agent workflow design and orchestration strategies
  • Contribute to Architecture Decision Records (ADRs) and technical design documentation.
  • Define scalable, secure, and maintainable AI platform patterns.

AI Application Development
  • Develop and deploy production-grade AI applications and agentic workflows.
  • Build solutions supporting:
    • Natural Language to SQL (NL-to-SQL)
    • Semantic search
    • Metadata enrichment
    • Intelligent automation workflows
  • Implement AI guardrails, observability, monitoring, and evaluation frameworks.
  • Leverage modern agent development tools and coding assistants.

Full-Stack Engineering
  • Develop backend services using:
    • Python
    • FastAPI
  • Build frontend experiences using:
    • Angular
    • React
  • Create chat interfaces, APIs, developer tooling, and user-facing AI experiences.
  • Own end-to-end feature delivery from design through production deployment.

Engineering Excellence
  • Write high-quality, maintainable, and testable code.
  • Lead technical reviews and establish engineering best practices.
  • Perform root-cause analysis and troubleshoot complex AI agent failures.
  • Serve as the team's technical expert for advanced AI and platform engineering challenges.
  • Drive continuous improvements in reliability, scalability, and performance.

Collaboration & Leadership
  • Partner closely with Product Management, Data Engineering, and Platform Engineering teams.
  • Participate in sprint planning, backlog refinement, and technical roadmap discussions.
  • Mentor team members and promote knowledge sharing.
  • Support onboarding and technical development of new engineers.

Required Qualifications
Experience
  • 5+ years of professional software engineering experience.
  • Demonstrated hands-on coding expertise with modern application development practices.
  • Experience building and operating AI-powered applications or LLM-based systems in production environments.
  • Ability to interpret ambiguous business requirements and independently deliver robust, well-tested solutions.
  • Experience designing scalable cloud-native applications.

Technical Skills
  • Artificial Intelligence and Expert Systems
  • Large Language Models (LLMs)
  • Agent-based AI architectures
  • API development and microservices
  • Python development
  • FastAPI
  • Frontend development using Angular or React
  • Production software engineering and DevOps practices

Agentic AI Experience
  • Experience building agent-based systems using frameworks such as:
    • Google Agent Development Kit (ADK)
    • CrewAI
    • LangGraph
    • Similar agent orchestration platforms
  • Familiarity with agentic development tools and AI-assisted coding environments, including:
    • OpenCode
    • Claude Code
    • Comparable AI developer productivity tools

Preferred Qualifications
Cloud & Platform Experience
  • Google Cloud Platform (Google Cloud Platform)
  • Cloud-native application architecture
  • Platform engineering and AI infrastructure

Machine Learning & AI
  • Applied machine learning experience, including:
    • Embeddings
    • Classification
    • Clustering
    • Natural Language Processing (NLP)
    • Model evaluation and benchmarking
  • Experience implementing AI evaluation frameworks and quality metrics.

Data & Governance
  • Familiarity with:
    • Data engineering principles
    • Enterprise data platforms
    • Metadata management
    • Data governance processes

Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.