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Microsoft Copilot information

What is a Microsoft Copilot?

A Microsoft Copilot job typically involves working with AI-powered tools and solutions designed to assist users with tasks across Microsoft 365, Dynamics, and other platforms. Professionals in this role may focus on developing, implementing, or optimizing Copilot features to enhance productivity and decision-making. Responsibilities can include AI integration, user training, and workflow automation. The role often requires expertise in artificial intelligence, cloud computing, and Microsoft technologies.

What are the typical daily responsibilities of a Microsoft Copilot?

In a Microsoft Copilot role, your daily responsibilities usually involve integrating and customizing AI-driven tools within Microsoft 365 environments to enhance productivity and streamline workflows. You'll likely collaborate closely with end-users, IT teams, and stakeholders to identify needs, provide training, and support the adoption of new features. Troubleshooting user issues, optimizing business processes, and staying up to date with platform updates are also key components of the job. This variety ensures a dynamic workday and offers many opportunities to contribute impactful solutions across the organization.

What are the key skills and qualifications needed to thrive as a Microsoft Copilot?

To thrive as a Microsoft Copilot, you should have strong expertise in Microsoft 365 applications, business process optimization, and data analysis, often supported by a relevant degree or certifications such as Microsoft Certified: Power Platform or Microsoft 365 Fundamentals. Familiarity with AI-powered tools, workflow automation platforms like Power Automate, and integration with cloud services is typically required. Collaboration, adaptability, and proactive problem-solving are standout soft skills for this role. These competencies enable efficient implementation of Copilot features across teams, driving productivity and digital transformation.

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Microsoft Copilot jobs near you
Infographic showing various Microsoft Copilot job openings in the United States as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution.

Microsoft Copilot Studio & Azure AI Foundry Engineer

Neshent Technologies

Newell, NC • On-site

$49.50 - $61.50/hr

Full-time

Posted 5 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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