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Azure Ai Jobs in Michigan (NOW HIRING)

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources. * Build retrieval-augmented ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

Design, build, and deploy AI-powered applications and integrations that connect large language models (e.g., Claude, Azure OpenAI) to business systems and data sources. * Build retrieval-augmented ...

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How much do azure ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for azure ai in Michigan is $50.90, according to ZipRecruiter salary data. Most workers in this role earn between $46.11 and $57.21 per hour, depending on experience, location, and employer.

What is an Azure AI?

An Azure AI job typically involves working with Microsoft's Azure AI services to build, deploy, and manage artificial intelligence and machine learning solutions. Professionals in this role may work with tools like Azure Machine Learning, Cognitive Services, and AI-powered analytics to develop intelligent applications. Responsibilities often include data preprocessing, model training, integration with cloud services, and optimizing AI workflows for scalability and performance. This job is ideal for individuals with expertise in AI, cloud computing, and programming languages like Python or R.

What does an Azure AI do?

As an Azure AI professional, your daily responsibilities often include designing and deploying AI models on Azure, integrating machine learning pipelines, and managing large-scale data processing tasks. You'll collaborate closely with data scientists, cloud architects, and business stakeholders to interpret project requirements and implement technical solutions. Regular activities may also involve automating workflows, monitoring model performance, and troubleshooting issues within the Azure cloud environment. This collaborative and dynamic work environment provides continuous learning opportunities and exposure to the latest advancements in AI and cloud technologies.

What are the key skills and qualifications needed to thrive in the Azure AI position?

To thrive in an Azure AI role, you need expertise in cloud computing, machine learning, and data engineering, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure AI platform tools such as Azure Machine Learning, Cognitive Services, and relevant certifications like Microsoft Certified: Azure AI Engineer Associate is highly valuable. Strong problem-solving skills, collaboration, and effective communication make candidates stand out. These abilities are essential for delivering scalable AI solutions, integrating with business needs, and achieving successful project outcomes in fast-evolving cloud environments.

Is Azure AI in demand?

Azure AI is in high demand as organizations increasingly adopt cloud-based artificial intelligence solutions. Professionals with skills in Azure AI services, machine learning, and cloud computing are sought after across various industries, often requiring certifications and experience with tools like Azure Machine Learning and Cognitive Services.

What jobs can I get with Azure AI certification?

Azure AI certification can qualify you for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, or Cloud Solutions Architect. These positions involve developing, deploying, and managing AI and machine learning solutions using Azure services and tools. Strong programming skills and knowledge of cloud environments are typically required.

What are the most commonly searched types of Azure Ai jobs in Michigan?

The most popular types of Azure Ai jobs in Michigan are:

What are popular job titles related to Azure Ai jobs in Michigan?

For Azure Ai jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Azure Ai jobs in Michigan look for?

The top searched job categories for Azure Ai jobs in Michigan are:

Azure Ai jobs near you
Infographic showing various Azure Ai job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $105,878 per year, or $50.9 per hour.

Senior Azure AI Foundry Engineer

Interon IT Solutions

Detroit, MI • On-site

$59.50 - $77.25/hr

Contractor

Re-posted 16 days ago

Job description

Job Title: Azure AI Foundry Engineer

Location: Lansing/Detroit, Michigan (Hybrid)

Client: Cognizant

Employment Type: W2

Experience: 8+ Years


Job Description:

We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.


Key Responsibilities

Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.

Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.

Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.

Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.

Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.

Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.

Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.

Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.

Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.

Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.

Collaborate with data engineers, data scientists, architects, business analysts, and product teams.

Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.

Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.


Required Skills

6+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.

Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.

Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.

Experience developing REST APIs using FastAPI, Flask, or similar frameworks.

Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.

Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.

Experience working with SQL, NoSQL, document databases, or vector databases.

Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.