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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

$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

$111K - $146K/yr

Build and support chatbot, RAG, conversational AI, and model-connected application capabilities ... Help create reusable patterns, improve engineering practices, and mentor less experienced engineers ...

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 - $119K/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 ...

Huntington

Automation Engineer 3

Detroit, MI · On-site +1

$70K - $154K/yr

... AI services is a strong plus. * Experience in UX/UI design for apps and chatbot experiences. * Understanding of Application Lifecycle Management (ALM) and DevOps practices for Power Platform.

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 8, 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 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 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 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.

How much do Ai Chatbot Developers make?

Ai Chatbot Developers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and skill level. Salaries can be higher for those with expertise in machine learning, natural language processing, and relevant programming languages like Python or Java. Entry-level positions may start lower, while senior developers or specialists can earn significantly more.

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.

How to become an AI chatbot developer?

To become an AI chatbot developer, you should gain skills in programming languages such as Python or JavaScript, understand natural language processing (NLP) frameworks like TensorFlow or PyTorch, and learn how to design conversational interfaces. Building experience through projects, online courses, or certifications in AI and machine learning can also help establish expertise in developing effective chatbots.

Is Ai Chatbot Developer a good career?

Ai Chatbot Developer is a growing field that involves designing and implementing conversational AI systems using programming languages and machine learning techniques. It offers opportunities in technology companies, requires skills in natural language processing, and often involves continuous learning to keep up with evolving tools and frameworks. Overall, it can be a rewarding career for those interested in AI and software development.
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, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $81,712 per year, or $39.3 per hour.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 6 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

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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