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Azure Ai Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Cary, NC ยท On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and ...

AI Developer- Senior

Raleigh, NC ยท On-site

$90 - $95/hr

Direct experience integrating Azure OpenAI, Copilot Studio and other AI into Enterprise apps ... E on observability, governance, and best practices. * Support development teams in embedding AI ...

Data Engineer

Cary, NC ยท On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and ...

... Azure OpenAI, and the Anthropic API. * Own the end-to-end lifecycle of AI solutions, from ... AI Process Engineering Analyzing current workflows, documenting business operations, and ...

... Azure OpenAI, and the Anthropic API. * Own the end-to-end lifecycle of AI solutions, from ... AI Process Engineering Analyzing current workflows, documenting business operations, and ...

The AI Architect Manager is a critical leadership role responsible for designing, developing, and ... engineering, or solution architecture * Experience with Azure Databricks and distributed data ...

Showing results 21-40

Azure Ai Engineer information

See Raleigh, NC salary details

$24

$52

$74

How much do azure ai engineer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for azure ai engineer in Raleigh, NC is $52.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $60.53 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 Raleigh, NC?

The most popular types of Azure Ai Engineer jobs in Raleigh, NC are:

What are popular job titles related to Azure Ai Engineer jobs in Raleigh, NC?

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

What job categories do people searching Azure Ai Engineer jobs in Raleigh, NC look for?

The top searched job categories for Azure Ai Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Azure Ai Engineer jobs?

Cities near Raleigh, NC with the most Azure Ai Engineer job openings:

Infographic showing various Azure Ai Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $108,432 per year, or $52.1 per hour.

Microsoft AI Developer

Raleigh, NC โ€ข On-site

Kanak Elite Services Inc
Software Developmentย โ€ขย 51 - 200 employees

Contractor

Re-posted 14 days ago


Job description

Hello There,

Wish you a Happy Friday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

TITLE – MICROSOFT AI CHATBOT DEVELOPER

LOCATION – RALEIGH, NC (ONSITE ONLY LOCALS)

DURATION – 12+ MONTHS

We have some urgent requirements with at least 5 years’ experience as Microsoft AI Chatbot Developer to design and build intelligent conversational agents using Copilot Studio and the broader Microsoft Power Platform ecosystem, including Azure. You'll build sophisticated chatbots that integrate Teams, SharePoint, Microsoft 365 services, and external systems to enhance productivity for NCDOT users and customers.

MANDATORY – MUST HAVE:

  • Hands on Microsoft Power Platform development including deploying to solutions with environments.
  • Copilot Studio for creating chat-driven interfaces
  • Microsoft Power Automate for creating workflows across M365 and integrating with other systems
  • Microsoft Power Apps
  • SharePoint
  • Microsoft 365
  • Building agents within and outside of SharePoint
  • Integrating chatbots with external services
  • Azure AI capabilities

Hands on experience working with non-Microsoft LLM platforms like Gemini, Claude, ChatGPT