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Azure Ai Jobs (NOW HIRING)

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Net Developer with Azure AI Job Location: Hartford, CT Job Type: Contract Responsibilities · Design and implement fullstack solutions using .NET Azure and modern cloud native patterns · Integrate ...

Staffingine LLC

Sr .Net Developer with Azure AI

Hartford, CT · On-site

$55.50 - $68.75/hr

Net Developer with Azure AI Job Location: Hartford, CT Job Type: Contract * Design and implement fullstack solutions using .NET Azure and modern cloud native patterns * Integrate Azure AI services eg ...

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How much do azure ai jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

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.

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.

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 like Azure AI Engineer Associate.

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, and 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 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.

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Azure Ai jobs near you
Infographic showing various Azure Ai job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Microsoft Copilot Studio & Azure AI Foundry Engineer

Neshent Technologies

Stallings, NC

$51.50 - $64/hr

Full-time

Posted 16 days ago

Job description

Job Summary

We are seeking an experienced Microsoft Copilot Studio & Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade AI agents and intelligent automation solutions. The ideal candidate will have hands-on expertise with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, and the Microsoft Power Platform to build secure, scalable, and Responsible AI solutions that integrate seamlessly with enterprise applications.

Required Skills & Qualifications
  • 5+ years of experience in Microsoft cloud technologies, AI, or enterprise application development.
  • Hands-on experience building AI agents using Microsoft Copilot Studio, including Topics, Actions, Generative Answers, Agent Flows, and orchestration patterns.
  • Strong experience with Azure AI Foundry, including foundation model selection, prompt engineering, grounding techniques, model evaluation, and deployment.
  • Experience integrating Azure OpenAI, Azure AI Search, and Azure AI Content Safety services.
  • Strong understanding of Retrieval-Augmented Generation (RAG), contextual memory, prompt engineering, and agent orchestration.
  • Experience developing workflow automation using Power Automate, Dataverse, and Microsoft 365 connectors.
  • Experience integrating enterprise applications using Microsoft Graph API, REST APIs, Azure Functions, and Azure API Management.
  • Knowledge of CI/CD, environment management, solution packaging, and application lifecycle management.
  • Strong understanding of AI security, governance, Responsible AI principles, DLP policies, and enterprise compliance standards.
  • Excellent analytical, communication, and stakeholder management skills.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Skills
  • Experience working in BFSI or other highly regulated industries.
  • Knowledge of Microsoft Power Platform governance and administration.
  • Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms.
  • Microsoft Azure AI, Power Platform, or Copilot Studio certifications.
Roles and Responsibilities
  • Design, develop, and deploy enterprise AI agents using Microsoft Copilot Studio, leveraging Topics, Actions, Generative Answers, and advanced agent orchestration capabilities.
  • Build intelligent multi-step agent workflows using Agent Flows, contextual memory, decision logic, and goal-driven automation.
  • Utilize Azure AI Foundry to evaluate, configure, operationalize, and optimize foundation models through prompt engineering, grounding, and evaluation pipelines.
  • Integrate Copilot Studio with Azure AI services including Azure OpenAI, Azure AI Search, and Azure AI Content Safety to deliver accurate, secure, and Responsible AI experiences.
  • Develop backend automation and business workflows using Power Automate, Dataverse, Microsoft 365 connectors, and Power Platform components.
  • Implement secure integrations with Microsoft Graph, REST APIs, Azure Functions, and Azure API Management.
  • Support enterprise deployments by managing environments, solution packaging, release management, and CI/CD pipelines.
  • Implement governance, security, auditability, data protection, DLP policies, and Responsible AI controls aligned with enterprise and regulatory requirements.
  • Design and execute testing, evaluation, performance tuning, and optimization strategies using Azure AI Foundry evaluation metrics and Copilot Studio testing capabilities.
  • Collaborate with business stakeholders, architects, security teams, and product owners throughout solution design, implementation, and deployment.
  • Produce and maintain architecture documentation, technical designs, operational runbooks, governance standards, and implementation best practices.

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