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Entry Level Artificial Intelligence Engineer Jobs in Michigan

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data ...

New

Associate Data Engineer 2027 - AI & Analytics

Lansing, MI · On-site

$59K - $60K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Foundational understanding of Artificial Intelligence, Machine Learning, Generative AI, or data ...

New

This role would be ideal for an entry-level candidate whose eager to transition into controls or ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Industrial Engineer

Dearborn, MI · On-site

$35 - $41/hr

... Entry Level Job Type & Location This is a Contract position based out of Dearborn, MI. Pay and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Product Engineer

Warren, MI · Hybrid

$44 - $50/hr

Description The Design Release Engineer will coordinate design analysis and product development ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Description The Design Release Engineer will coordinate design analysis and product development ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Develop PLC logic (Rockwell, Siemens, Fanuc) using programming languages (Python/C++/etc.) * Ensure ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Assembly Engineer - Contract DISHER is seeking an experienced Electrical Engineer for our customer ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Entry Level Artificial Intelligence Engineer information

See Michigan salary details

$26.1K

$60.5K

$102.8K

How much do entry level artificial intelligence engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level artificial intelligence engineer in Michigan is $60,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $68,400.00 per year, depending on experience, location, and employer.

What is an entry level artificial intelligence engineer?

An Entry Level Artificial Intelligence Engineer is responsible for developing AI models, writing algorithms, and working with data to build intelligent systems. They typically assist in training machine learning models, optimizing performance, and integrating AI solutions into applications. This role requires knowledge of programming languages like Python, machine learning frameworks, and data processing techniques. Entry-level AI engineers often collaborate with data scientists and software engineers to improve AI functionalities. Employers usually look for candidates with a degree in computer science, engineering, or a related field, along with hands-on experience in AI projects.

What kind of projects or tasks does an entry level artificial intelligence engineer typically work on?

Entry Level Artificial Intelligence Engineers often assist with data collection and preprocessing, implement and test machine learning models, and support research or production teams in developing AI solutions. You may help analyze large datasets, tune model parameters, write scripts for automation, and contribute to code reviews or documentation. Collaboration is common, as you’ll often work closely with data scientists, senior AI engineers, and product managers to advance ongoing projects. These experiences provide a strong foundation for developing your technical skills and understanding how AI solutions are built and deployed in real business environments.

What are the key skills and qualifications needed to thrive as an entry level artificial intelligence engineer?

To thrive as an Entry Level Artificial Intelligence Engineer, you need a solid background in programming (especially Python), mathematics (linear algebra, statistics), and foundational machine learning concepts, often demonstrated through a relevant degree or project experience. Familiarity with key AI frameworks such as TensorFlow or PyTorch, version control systems like Git, and optionally certifications like Google’s TensorFlow Developer Certificate are valuable assets. Strong problem-solving skills, curiosity, and the ability to collaborate and communicate clearly within teams will help you stand out. These competencies are crucial for contributing effectively to real-world AI projects, learning on the job, and advancing in this rapidly evolving field.

What are the most commonly searched types of Artificial Intelligence Engineer jobs in Michigan?

The most popular types of Artificial Intelligence Engineer jobs in Michigan are:

What are popular job titles related to Entry Level Artificial Intelligence Engineer jobs in Michigan?

For Entry Level Artificial Intelligence Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Artificial Intelligence Engineer jobs in Michigan look for?

The top searched job categories for Entry Level Artificial Intelligence Engineer jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Artificial Intelligence Engineer jobs?

Cities in Michigan with the most Entry Level Artificial Intelligence Engineer job openings:

Infographic showing various Entry Level Artificial Intelligence Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $60,456 per year, or $29.1 per hour.

Artificial Intelligence Engineer II

Advantasure, Inc.

Detroit, MI • On-site

$51 - $68.25/hr

Other

Re-posted 18 hours ago


Job description


Departmental Summary:
The AI Engineer must have prior hands-on experience designing, building, and deploying Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions within large-scale, big data environments. Proven experience delivering projects using Agile methodologies is a mandatory requirement.
Key Responsibilities
Design, develop, and implement end-to-end agentic AI systems that integrate:
  • Large Language Models (LLMs)
  • Multi-agent orchestration frameworks
  • Enterprise-grade data pipelines
  • Business and operational applications
  • Deliver production-grade solutions that meet enterprise standards for reliability, scalability, performance, and maintainability.

Departmental Preferences:
Hands-on development experience with:
  • Python, Python FastAPI Framework, Python Django
  • AWS Bedrock
  • AWS Bedrock Agent Core
  • AWS SageMaker Catalog
  • AWS SageMaker AI
  • AWS SageMaker Model Monitor
  • AWS SageMaker Studio
  • Vector Databases (AWS Postgres, Redshift, OpenSearch)
  • AWS DynamoDB
  • AWS S3 / S3 Vector
  • AWS Nova and Anthropic Claude Sonnet
  • Certified AWS AI Practitioner - Foundational

Work closely with clients, business analysts and team members on small to large, complex projects to understand the business requirements that drive the analysis and design of quality technical solutions that align with business and IT strategies and are in compliance with the organization's architectural standards. Provide support in the full systems life cycle for multiple applications to ensure application software is delivered on time and within budget.
  • Code applications using a disciplined development process.
  • Integrate solutions with other applications and platforms outside the framework.
  • Create data extracts and reports from system based on requirements.
  • Develop, execute, and document unit test plans.
  • Support and/or execute all testing efforts across the life cycle.
  • Assist in the deployment of new modules, upgrades and fixes to the production environment. Make modules production-ready by moving them to libraries, completing forms and version control documents, following procedures, etc.
  • Validate deployment.
  • Assist in production support.
  • Troubleshoot existing information systems to identify errors or deficiencies and develops solutions.
  • Provide ongoing maintenance of applications.
  • Evaluate existing applications and platforms and provides recommendations for improving application performance by conducting gap analysis, identifying feasible alternative solutions, and assisting in the scope of modifications.
  • Document functions and changes to new or modified modules and test activities/results.
  • Assist in the development of user guides and training documentation for systems.
  • Participate in project planning processes, as needed.
  • Identify better sources of data feeds and interfaces with architects to ensure their feasibility with corporate data warehouse, when needed. Identify technical requirements, as needed.
  • Create technical design specifications and assist in sizing technical requirements, as needed. Adhere to standards and procedures; check for compliance.
  • Review modules for quality assurance.
  • Evaluate new application packages and tools and perform research on best practices and provide recommendations for solutions, as needed.
  • Prepare and present formal training to IT staff, as needed.
  • Provide technical coaching and mentoring to less-experienced team members.
  • Other duties may be assigned.

"Qualifications"
EDUCATION AND/OR EXPERIENCE
  • Bachelor's degree in related field preferred.
  • Three (3) years of advanced programming techniques and application design required.
  • Experience in systems design and have a solid understanding of development, database development, testing, and integration methodologies required.
  • Project management experience preferred.

OTHER SKILLS AND ABILITIES
  • Analytical and systems thinking.
  • Accuracy and attention to detail.
  • Written and verbal communication skills.
  • Ability to work independently, or within a team environment.
  • Other related skills and/or abilities may be required to perform this job.

All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.