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Azure Ai Engineer Jobs in Michigan (NOW HIRING)

Mastronardi Produce Limited

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

Sunset Grown

AI Engineer

Livonia, MI · On-site

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

NICE

... with Azure AI Foundry and Anthropic Claude API, managing context windows, tool use, streaming responses, and multi-turn conversations Engineer the Models Gateway • Build a unified gateway ...

Corning

$93K - $122K/yr

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... Azure, AWS, or GCP. -Experience defining reusable architecture patterns, technical standards, or ...

Corning

At Corning, we are looking for a Lead AI Engineer to help guide the design, development ... Cloud experience with Azure, AWS, or GCP.Experience defining reusable architecture patterns ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

OneStream

AI Engineer

Birmingham, MI · Remote

AI Engineer Location :  Hybrid, United States Employment Type : Full-Time Benefits Offered ... Knowledge of distributed systems and cloud-based computing (Azure). Knowledge, Skills, and ...

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Azure Ai Engineer information

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$22

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$66

How much do azure ai engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for azure ai engineer in Michigan is $46.74, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.28 per hour, depending on experience, location, and employer.

What is an Azure AI Engineer?

An Azure AI Engineer is responsible for designing, developing, and deploying AI solutions using Microsoft Azure services. They work with AI models, machine learning, and cognitive services to build intelligent applications. Their role includes data preprocessing, model training, optimization, and integration with cloud-based systems. Azure AI Engineers collaborate with data scientists and developers to enhance AI-driven solutions for business needs. Proficiency in Azure Machine Learning, AI services, and programming languages like Python is essential for the role.

What are the typical daily responsibilities of an Azure AI Engineer?

An Azure AI Engineer typically spends their day designing, building, and deploying AI and machine learning models using Azure's suite of cloud-based tools. Tasks often include data preprocessing, model training and evaluation, integrating AI solutions with existing applications, and optimizing system performance for reliability and scalability. Collaboration is common, with frequent interactions with data scientists, developers, and IT specialists to ensure seamless implementation of AI solutions. This role also involves staying updated with the latest Azure features and industry trends to deliver cutting-edge, efficient solutions for business challenges.

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

To thrive as an Azure AI Engineer, you need a strong foundation in artificial intelligence, machine learning, and cloud computing, typically supported by a degree in computer science or a related field. Proficiency in Microsoft Azure services (such as Azure Machine Learning, Cognitive Services, and Databricks), along with certifications like Microsoft Certified: Azure AI Engineer Associate, is highly valued. Effective problem-solving, teamwork, and strong communication skills help Azure AI Engineers work efficiently in cross-functional teams. These abilities are essential to deliver scalable AI solutions that align with business objectives and industry best practices.

Is Azure AI in demand?

Azure AI engineers are in high demand as organizations increasingly adopt cloud-based AI solutions and require expertise in Azure services, machine learning, and AI model deployment. The role often requires knowledge of Azure tools, programming skills, and certifications, reflecting strong industry growth in cloud AI development.

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

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

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

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

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

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

Azure Ai Engineer jobs near you
Infographic showing various Azure Ai Engineer job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 16% Part Time, and 6% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $97,228 per year, or $46.7 per hour.

Senior Azure AI Foundry Engineer

Detroit, MI • On-site

Interon IT Solutions
See more jobs at Interon IT Solutionsexternal

$59.50 - $77.25/hr

Contractor

Re-posted 25 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.