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Python Ai Developer Jobs in Belleville, MI (NOW HIRING)

Harman International Industries

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Design, build, and deploy AI and Generative AI solutions that automate internal workflows and ... Strong hands-on experience with Python and modern software engineering practices; working knowledge ...

Accenture

Forward Deployed Engineer

Detroit, MI · On-site

With over 77,000 professionals dedicated to Data & AI, Accenture's Data & AI organization is ... Python, JavaScript, Java, Spring or GoLang, showcasing a strong command over the technical ...

Pwc

GenAI Python Systems Engineer-Manager

Detroit, MI

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Megan soft Inc

3DX Developer

Dearborn, MI · On-site

Build integrations between 3DX data and AI/ML tools (Python, Qliksense, Alteryx, LLMs) for ... Programming: EKL, MQL, Java (server-side for 3DSpace/ENOVIA). * Web & API: JavaScript, REST/SOAP ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

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All JobsPython Ai Developer JobsPython Ai Developer Jobs in Belleville, MI

Python Ai Developer information

See Belleville, MI salary details

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How much do python ai developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for python ai developer in Belleville, MI is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.64 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

Which 3 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, developing, and overseeing AI systems, often requiring advanced technical skills, domain expertise, and adaptability to evolving technologies.

Will AI replace Python coders?

AI development roles, including Python AI developers, focus on creating and maintaining AI models and tools. While AI can automate certain coding tasks, human expertise is still essential for designing, debugging, and improving AI systems, making complete replacement unlikely in the near term.

What are the key skills and qualifications needed to thrive as a Python AI Developer, and why are they important?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

Which 5 jobs will survive AI?

For a Python AI Developer, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as AI research scientist, data scientist, machine learning engineer, cybersecurity analyst, and software architect. These positions often involve designing, overseeing, and interpreting AI systems, which are less susceptible to automation. Continuous learning and expertise in AI tools and programming languages are essential for long-term job security in this field.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often found in large tech companies or specialized firms. These roles usually require advanced skills in machine learning, deep learning, and programming with tools like Python, along with significant experience and sometimes advanced degrees. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in business applications.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
What cities near Belleville, MI are hiring for Python Ai Developer jobs? Cities near Belleville, MI with the most Python Ai Developer job openings:
Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Belleville, MI as of June 2026, with employment types broken down into 51% Full Time, 45% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $114,705 per year, or $55.1 per hour.
Senior Engineer, AI

Senior Engineer, AI

Harman International Industries

Novi, MI • On-site

$98K - $134K/yr

Full-time

Posted 24 days ago

Job description

A Career at HARMAN
As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at HARMAN you can grow, make a difference and be proud of the work you do every day.
Introduction: A Career at HARMAN Automotive
We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.
  • Engineer audio systems and integrated technology platforms that augment the driving experience
  • Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
  • Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role
As a Senior AI Engineer, you will help drive internal enterprise transformation through the design, development, and deployment of AI and Generative AI solutions that improve business processes and deliver measurable value across enterprise business applications and functions. This role is focused on building practical, production-ready capabilities that increase productivity, streamline workflows, and enable better decision-making across domains such as engineering, software, HR, legal, procurement, costing, and related business functions.
You will work hands-on across the full solution lifecycle-from problem definition and prototyping to evaluation, deployment, and ongoing optimization-while contributing to enterprise data and AI initiatives that leverage Microsoft Fabric, the broader Microsoft ecosystem, and other modern cloud and data platforms. The primary focus remains on Generative AI, LLMs, agentic workflows, retrieval-augmented generation (RAG), and enterprise copilots, with an emphasis on responsible AI, governance, and scalable adoption.
What You Will Do
  • Design, build, and deploy AI and Generative AI solutions that automate internal workflows and improve productivity across enterprise business applications and functions.
  • Deliver production-ready internal copilots, assistants, and workflow accelerators for use cases such as knowledge search, document summarization, conversational analytics, intelligent recommendations, and process automation.
  • Partner with stakeholders across engineering, software, HR, legal, procurement, costing, and similar functions to identify high-value opportunities and translate business needs into scalable AI solutions.
  • Build and support enterprise GenAI solutions using large language models, prompt engineering, agentic workflows, and RAG patterns over structured and unstructured enterprise data.
  • Contribute to enterprise data and AI initiatives using Microsoft Fabric and the broader Microsoft ecosystem, including Azure, Azure OpenAI, Power Platform, Copilot Studio, Microsoft 365, and other related platforms, while also working with complementary technologies already present in the environment.
  • Architect and develop scalable data and AI pipelines that support retrieval, orchestration, evaluation, monitoring, and secure access to enterprise information.
  • Design and implement RAG pipelines across heterogeneous enterprise datasets, including requirements documents, business rules, lessons learned, operational content, knowledge bases, and other unstructured sources.
  • Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to improve retrieval quality and user outcomes.
  • Develop agentic and tool-using workflows using frameworks such as LangChain, LlamaIndex, MCP, and related orchestration patterns.
  • Evaluate model performance, prompt behavior, grounding quality, and workflow effectiveness using structured testing, human feedback, and measurable business outcomes.
  • Implement responsible AI practices including guardrails, content filtering, access controls, auditability, and governance aligned to enterprise standards.
  • Contribute to production readiness through observability, monitoring, cost awareness, performance tuning, and reliable deployment practices.
  • Build solutions and integrations using modern application stacks such as Python, Node.js, APIs, and web frameworks, with the ability to collaborate across platform, data, and application teams.
  • Work closely with business, platform, testing, validation, and delivery teams in a fast-paced environment with strong communication, rapid iteration, and a process-excellence mindset.
What You Need To Be Successful
  • 6+ years of experience building production software, data, or AI solutions, including hands-on experience with machine learning systems and/or Generative AI applications.
  • Strong hands-on experience with Python and modern software engineering practices; working knowledge of Node.js and service-oriented application development is a plus.
  • Experience building GenAI and LLM-powered applications, including prompt engineering, RAG, evaluation, and agentic workflows.
  • Familiarity with frameworks and tooling such as LangChain, LlamaIndex, Transformers, PyTorch, TensorFlow, or similar ecosystems.
  • Experience integrating with model providers and enterprise AI platforms such as Azure OpenAI, OpenAI, Anthropic, AWS Bedrock, Meta/Llama, Mistral, or similar services.
  • Experience with enterprise data platforms and storage technologies, including SQL and NoSQL databases, search technologies, vector databases, and modern lakehouse or warehouse platforms.
  • Working knowledge of Microsoft Fabric and the broader Microsoft ecosystem, including Azure services, Power Platform, Copilot Studio, Microsoft 365 integrations, and enterprise data environments.
  • Familiarity with cloud and data engineering concepts across Azure, AWS, GCP, Databricks, Docker, Kubernetes, CI/CD, orchestration, and modern data pipelines.
  • Ability to work across structured and unstructured enterprise data to support AI use cases in internal business environments.
  • Understanding of operational excellence for AI systems, including monitoring, debugging, performance optimization, governance, security, and responsible AI practices.
  • Strong communication skills, product mindset, stakeholder collaboration, and the ability to operate effectively in cross-functional enterprise transformation initiatives.
  • BS, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, Data Science, or equivalent professional experience.
What Makes You Eligible
  • Be willing to work in an office located in Novi, MI (hybrid)
  • Successfully complete a background investigation and drug screen as a condition of employment

What We Offer
  • Access to employee discounts on world-class products (JBL, HARMAN Kardon, AKG, and more)
  • Extensive training opportunities through our own HARMAN University
  • Competitive wellness benefits
  • Tuition reimbursement
  • "Be Brilliant" employee recognition and rewards program
  • An inclusive and diverse work environment that fosters and encourages professional and personal development

#Hybrid
Salary Ranges:
$ 90,750 - $ 133,100
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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