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Applied Ai Jobs in Michigan (NOW HIRING)

Principal Applied AI Engineer, Finance We are seeking a Principal Applied AI Engineer to lead the design and delivery of next-generation AI and predictive models that transform financial decision ...

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer ...

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

We are looking for an AI Engineer / Applied AI Developer. The ideal candidate should have strong hands-on development skills, with a passion for building AI-powered proof-of-concepts and exploring ...

AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week onsite in Okemos. or 100% Remote: Open only to Senior-level candidates located in Eastern Time (EST). Must Have ...

Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the ...

Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research-and translate them into pragmatic solutions. Basic Qualifications: * Bachelor's degree in AI, Machine ...

Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research--and translate them into pragmatic solutions. Basic Qualifications: * Bachelor's degree in AI, Machine ...

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Applied Ai information

See Michigan salary details

$21.5K

$98K

$185.7K

How much do applied ai jobs pay per year?

As of Aug 30, 2026, the average yearly pay for applied ai in Michigan is $98,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,738.00 and $135,238.00 per year, depending on experience, location, and employer.

What is an applied AI?

An Applied AI job focuses on implementing artificial intelligence solutions to solve real-world problems in industries like healthcare, finance, and manufacturing. Professionals in this role work with machine learning models, data pipelines, and AI systems to enhance automation and decision-making. They collaborate with engineers, data scientists, and business teams to integrate AI into products and services. Strong programming, data analysis, and problem-solving skills are essential for success in this field.

What are the typical responsibilities and team dynamics in an applied AI position?

Professionals in Applied AI typically work on designing and deploying machine learning models to solve business problems, collaborating closely with data engineers, domain experts, and product managers. Daily tasks often include data cleaning, model development, algorithm selection, and integrating AI solutions into existing workflows or products. Applied AI specialists may participate in regular meetings to discuss project progress, share insights from data analysis, and refine requirements based on feedback. The work environment is usually fast-paced and collaborative, with frequent opportunities to present findings and contribute directly to innovative product features or business strategies.

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

To thrive in an Applied AI role, you need a strong background in machine learning, data science, mathematics, and programming, often supported by a relevant degree such as computer science or engineering. Proficiency with tools like Python, TensorFlow, PyTorch, and cloud computing platforms is essential, and certifications in AI or data science can be beneficial. Excellent problem-solving, communication, and teamwork skills help drive successful implementation of AI solutions in real-world business contexts. These abilities are crucial for bridging technical expertise with practical applications, ensuring impactful, reliable, and scalable AI outcomes.

How to get a job in applied AI?

To get a job in applied AI, develop strong skills in machine learning, programming (such as Python), and data analysis. Gaining experience through projects, internships, or certifications in AI frameworks like TensorFlow or PyTorch can improve your prospects, along with a relevant degree in computer science, data science, or related fields.

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

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

Infographic showing various Applied Ai job openings in Michigan as of August 2026, with employment types broken down into 60% Internship, and 40% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $98,011 per year, or $47.1 per hour.

AI Engineer / Applied AI Developer

1 point system

Farmington Hills, MI • On-site

Contractor

Re-posted 18 days ago


Job description

Job Role

 AI Engineer / Applied AI Developer

Location

 Hybrid – Farmington Hills, MI

(Minimum 3 days/week onsite; increasing to 4 days/week starting Summer 2026)

Duration

 Immediate need (Start within 2 weeks)

Interview

 In-person Interview

Role Summary

We are seeking a hands-on AI Engineer / Applied AI Developer with strong development expertise and a passion for building AI-powered proof-of-concepts. This role is ideal for someone who thrives in a fast-paced, research-driven environment and enjoys exploring cutting-edge AI technologies.

The ideal candidate will have strong Java and Python skills, experience working with large language models (LLMs), and the ability to rapidly prototype functional AI solutions.

Key Responsibilities
  • Design and develop AI-powered proof-of-concepts and prototype applications
  • Work with Large Language Models (LLMs) including prompt engineering and function calling
  • Integrate APIs and process structured and unstructured data
  • Collaborate in a fast-paced, research-driven team environment
  • Write clean, maintainable, and scalable code using best practices
  • Participate in version control and collaborative development using Git
  • Analyze complex problems and propose innovative AI-driven solutions
Required Technical Skills
  • Java – Advanced proficiency
  • Python – Intermediate to Advanced proficiency
  • Strong hands-on development experience
  • Experience with prompt engineering and function calling in LLMs
  • Ability to quickly build working proof-of-concepts
  • Experience integrating APIs
  • Experience handling structured and unstructured data
  • Strong analytical and critical thinking skills
  • Familiarity with Git and collaborative development workflows
Preferred / Nice-to-Have Skills
  • Experience building Agentic AI solutions
  • Experience developing conversational AI chatbots or summarization tools
  • Experience with OpenAI or similar LLM frameworks
  • Familiarity with Streamlit, FastAPI, or Flask for UI/demo development
  • Exposure to machine learning frameworks or AI cloud services

Thanks and Regards

Monu Singh Chauhan 1Point System LLC
Technical Recruiter
  
monu.singh@1pointsys.com 

LinkedIn: linkedin.com/in/monu-singh-chauhan-610857204
115 Stone Village Drive • Suite C • Fort Mill, SC • 29708

         An E-Verified company | An Equal Opportunity Employer 

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