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60 Ai Foundry Jobs Hiring Near You

BarmeniaGothaer

$104 - $162/hr

* Kern deiner Tätigkeit ist die Verantwortung für Architektur, Weiterentwicklung und Governance der zentralen AI-Plattform auf Basis von Azure AI Foundry. * Du übernimmst die Entwicklung von Ziel ...

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Microsoft Copilot Studio & Azure AI Foundry Engineer

Neshent Technologies

Tega Cay, SC • On-site

$48 - $59.50/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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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