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Ai Chatbot Developer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Software People, Inc.

AI Developer

Lansing, MI · On-site

The DOC AI is a Google Cloud product that is used to scan paper marriage licenses, extract index ... Proficiency in unit testing and integration testing for chatbot flows and APIs. * Familiarity with ...

Corning

Lead or support chatbot, RAG, conversational AI, agentic AI, and AI assistant integration ... Mentor engineers and help grow the AI engineering capability within COC Digital & IT. What do you ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... tools, chatbot-style workflows, and internal AI capabilities. - Assist with MCP development ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... What would be a plus? -Experience leading enterprise AI, GenAI, chatbot, RAG, or AI assistant ...

EnerSys

Senior Finance AI & Automation Developer

Novi, MI · On-site +1

$95K - $142K/yr

AI Agent & Chatbot Projects * AI Workflow Projects * Predictive Modeling Projects * Educate Finance ... Bachelors' degree in Engineering, Technology field, and/or Finance or equivalent * Project ...

FastTek

Software Engineer

Dearborn, MI · On-site

As a Full Stack Developer within the Connected Vehicle ecosystem, candidate will be responsible for ... Ensure all CVCEP and Chatbot APIs comply with our approved standards by performing rigorous ...

TEKsystems c/o Allegis Group

Technical Assistant

Troy, MI · On-site

$35K - $41K/yr

General understanding of AI, prompt engineering and chatbot configuration Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt to ...

TEKsystems

Technical Assistant

Troy, MI · On-site

$35K - $41K/yr

General understanding of AI, prompt engineering and chatbot configuration • Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt ...

TEKsystems

Technical Assistant

Troy, MI

$25 - $35/hr

General understanding of AI, prompt engineering and chatbot configuration • Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt ...

TEKsystems

IT Administrator

Troy, MI · On-site

$25 - $35/hr

General understanding of AI, prompt engineering and chatbot configuration * Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt to ...

TEKsystems

IT Administrator

Troy, MI · On-site

$25 - $35/hr

General understanding of AI, prompt engineering and chatbot configuration * Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt to ...

TEKsystems c/o Allegis Group

IT Administrator

Troy, MI · On-site

$25 - $35/hr

General understanding of AI, prompt engineering and chatbot configuration * Technical Acumen: Ability to understand end-user perspectives (technical and non-technical). Ability to learn and adapt to ...

All JobsAi Chatbot Developer JobsAi Chatbot Developer Jobs in Michigan

Ai Chatbot Developer information

See Michigan salary details

$64.9K

$81.7K

$110.3K

How much do ai chatbot developer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for ai chatbot developer in Michigan is $81,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $82,800.00 per year, depending on experience, location, and employer.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

What are the key skills and qualifications needed to thrive as an AI Chatbot Developer?

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

Ai Chatbot Developer jobs near you
Infographic showing various Ai Chatbot Developer job openings in Michigan as of August 2026, with employment types broken down into 73% Full Time, 21% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $81,712 per year, or $39.3 per hour.

Data Engineer

Auburn Hills, MI • On-site

Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Good employer

Recommended by students

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Learn more about Stellantisexternal

$108K - $130K/yr

Full-time

Re-posted 26 days ago

Job description

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.
You will manage end-to-end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.
Basic Qualifications:
  • Bachelor's degree in Computer Science (or a related technical field.).
  • 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
  • Hands-on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications:
  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Experience with agentic AI chatbot development or internal AI assistants.
  • Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
  • Experience with enterprise governance for analytics platforms.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies:
  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.

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