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Chatbot Jobs in Michigan (NOW HIRING)

... Cloud chatbot development tools • 3+years in RESTful APIs and webhooks • 3+years in SQL, R, and/or Pandas. • 3+ years in cloud computing and software development. • 3+ years software ...

This role is essential to ensuring our chatbot delivers accurate, accessible, and high-quality * information to users. * The successful candidate will serve as the primary steward of knowledge ...

Support the utilization of foundational chatbot tools or data-driven systems, assisting engineers in gathering reference data for decision-making and problem-solving. Customer Controlled Containment ...

Chatbot information

See Michigan salary details

$24

$48

$66

How much do chatbot jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for chatbot in Michigan is $48.61, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $55.29 per hour, depending on experience, location, and employer.

What is a Chatbot job?

A Chatbot job involves designing, developing, and maintaining AI-powered conversational agents that interact with users through text or voice. Professionals in this field work on training models, writing dialogue scripts, and improving chatbot performance using machine learning and natural language processing (NLP). They may collaborate with developers, UX designers, and data scientists to enhance user experience and ensure accurate, helpful responses.

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

To thrive as a Chatbot Developer, you need strong programming skills (often in languages like Python or JavaScript) and an understanding of natural language processing (NLP) concepts. Familiarity with chatbot frameworks (such as Dialogflow, Microsoft Bot Framework, or Rasa), API integration, and cloud platforms is highly beneficial. Excellent problem-solving skills, creativity, and the ability to clearly communicate with stakeholders are important soft skills in this role. These abilities are crucial to designing intuitive, effective chatbot solutions that enhance user experiences and meet business objectives.

What are some typical challenges faced when designing and maintaining a chatbot?

Professionals in chatbot development often encounter challenges such as accurately interpreting diverse user inputs, handling unexpected queries, and ensuring the chatbot can scale to accommodate high traffic. Maintaining a balance between automation and the need to escalate complex issues to human agents is also important. Additionally, staying updated with rapidly evolving NLP technologies and user experience best practices is essential. You'll likely collaborate with product managers, UX designers, and customer support teams to continuously improve the chatbot's effectiveness. Overcoming these challenges can be highly rewarding, leading to a more engaging and valuable tool for users.

What are the most commonly searched types of Chatbot jobs in Michigan? The most popular types of Chatbot jobs in Michigan are:
What cities in Michigan are hiring for Chatbot jobs? Cities in Michigan with the most Chatbot job openings:
Infographic showing various Chatbot job openings in Michigan as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $101,108 per year, or $48.6 per hour.
Senior Technical Architect (AI/ML) : Auburn HIlls, MI : W2 only

Senior Technical Architect (AI/ML) : Auburn HIlls, MI : W2 only

Marvel Technologies Inc

Auburn Hills, MI • On-site

Contractor

Posted 19 days ago


Job description

Senior Technical AI/ML Architect- (w2 only & Hybrid)

Auburn HIlls, MI 

We are seeking an experienced Senior Technical AI Architect with expertise in Artificial Intelligence (AI) and Machine Learning (ML), specializing in Google's suite of AI products. The ideal candidate will have a proven track record in designing and implementing advanced chatbot solutions that serve as intelligent agents, capable of providing information from company-approved data sources tailored to specific customer needs.  

Key Responsibilities:

  • Lead the architecture and design of AI/ML solutions, with a primary focus on chatbot development using Google's AI products.
  • Develop sophisticated chatbots that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers.
  • Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions.
  • Architect scalable and secure solutions for deploying AI models and chatbots in production environments.
  • Collaborate with data scientists, software engineers, and product managers to align AI solutions with business objectives and customer needs.
  • Evaluate and integrate various data sources, ensuring chatbots can access and utilize company-approved information effectively.
  • Implement personalization and context-aware features in chatbots to enhance user experience.
  • Develop strategies for continuous improvement of chatbot performance through machine learning and user feedback.
  • Ensure compliance with data privacy regulations and company policies in all AI/ML implementations.
  • Provide technical leadership and mentoring to the AI/ML development team.
  • Prior experience of tread reporting is mandatory
  • Prior experience of NHTSA is mandatory.

Extensive experience with Google's AI products, including but not limited to:

  • Google Cloud AI Platform
  • Dialogflow
  • Cloud Natural Language API
  • Cloud Translation API
  • TensorFlow
  • Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents.
  • Strong understanding of NLP, NLU, and machine learning algorithms.
  • Experience integrating chatbots with various data sources and APIs.
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go).
  • Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
  • Knowledge of data privacy regulations and best practices for secure AI implementations. 

Education:

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in AI/ML architecture, with at least 5 years focusing on chatbot development.