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Ai Implementation Jobs in Michigan (NOW HIRING)

Megan soft Inc

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs. * Strong technical expertise ...

Pwc

AI Engineer / Data Scientist, AI Manager

Detroit, MI

$99K - $297K/yr

You will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. As a Manager, you will lead teams and manage client accounts, focusing ...

Kla

AI Software Engineer|Manufacturing

Ann Arbor, MI · On-site

$111K - $188K/yr

Implement retrieval-augmented generation (RAG) architectures using internal and external data ... Ensure responsible AI practices, including privacy, security, and bias mitigation * Rapidly ...

KYYBA Inc

Cyber Security Architecture Manager

Detroit, MI · On-site

$109K - $148K/yr

... implementation of applications and platforms. • Support AI-related security initiatives, including governance, risk management, and secure AI adoption strategies. • Drive cloud security ...

Steelhead Technologies

Be Seen First

Implementation Leader

Brighton, MI · On-site

$72K - $90K/yr

You will develop a deep understanding of each customer's business, implement and tailor Steelhead ... Preferred Qualifications: · AI fluency in work/personal use · Saas/Tech experience Steelhead ...

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Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI director, or chief AI officer, often found in large tech companies or organizations with significant AI initiatives. These roles usually require advanced skills in machine learning, deep learning, data analysis, and experience with AI tools and frameworks, along with leadership responsibilities. Compensation at this level reflects extensive expertise, strategic impact, and often includes bonuses or stock options.

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

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

How much do AI implementation consultants make?

AI implementation consultants typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior consultants or those with specialized skills in machine learning and data analysis can earn higher salaries, often exceeding $150,000. Compensation may also include bonuses and benefits based on project success and company size.

What is an AI Implementation job?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI Implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

Which 5 jobs will survive AI?

AI implementation professionals, data scientists, cybersecurity specialists, healthcare providers, and skilled tradespeople are likely to continue thriving as these roles require complex problem-solving, human judgment, and hands-on skills that are difficult for AI to replicate. These jobs often involve critical thinking, emotional intelligence, or physical tasks that remain essential despite automation advances.
What are the most commonly searched types of Ai Implementation jobs in Michigan? The most popular types of Ai Implementation jobs in Michigan are:
What are popular job titles related to Ai Implementation jobs in Michigan? For Ai Implementation jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Michigan look for? The top searched job categories for Ai Implementation jobs in Michigan are:
What cities in Michigan are hiring for Ai Implementation jobs? Cities in Michigan with the most Ai Implementation job openings:
Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Michigan as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Documentation & AI Content Specialist

HireTalent - Staffing & Recruiting Firm

Auburn Hills, MI • On-site

Other

Posted 16 days ago

Job description

Overview

We are seeking a skilled Documentation & AI Content Specialist to support AI implementation initiatives within Salesforce. This role focuses on creating clear, user-friendly, and AI-ready content that enables both employees and AI-powered tools to deliver seamless experiences.

  • Duration: 2-Year Contract (potential for full-time conversion, not guaranteed)
  • Work Model: Onsite
  • Interview Process: Virtual
  • Experience: 3–5 years
  • Education: Bachelor’s Degree preferred (required for full-time conversion)
  • Industry Background: Open


Responsibilities

  • Support AI implementation initiatives within Salesforce environments
  • Develop process documentation, SOPs, and knowledge base articles
  • Create customer-facing and internal content optimized for AI-driven systems
  • Translate complex processes into clear, concise, user-friendly documentation
  • Build decision trees and workflow diagrams to support AI chatbot interactions
  • Collaborate with a team of process developers on AI-focused projects
  • Design content that improves usability for both human users and AI solutions


Required Qualifications

  • 3–5 years of experience in instructional design or technical writing
  • Strong expertise in process documentation and SOP creation
  • Experience developing knowledge base content
  • Familiarity with AI-powered tools, chatbots, or AI-driven platforms
  • Working knowledge of Salesforce
  • Ability to create decision trees and workflow documentation
  • Proven ability to simplify complex processes into easy-to-understand content
  • Proficiency with:
  • Salesforce
  • Microsoft Visio
  • AI chatbot or knowledge management platforms
  • Portfolio required demonstrating:
  • Process documentation
  • SOPs
  • Knowledge base articles
  • Instructional design samples
  • Clear, user-friendly content examples


Preferred Qualifications

  • Experience with AI-driven knowledge management systems
  • Exposure to Salesforce AI implementation initiatives
  • Proficiency in Microsoft Visio
  • Experience creating customer-facing AI content
  • Chatbot content development experience

Apply