U
3 hours ago
Full-time
On-site
Job Summary We are seeking an experienced

AI Engineer with Microsoft Copilot expertise

to design, develop, and deploy AI-powered solutions using Microsoft Copilot, Copilot Studio, Azure OpenAI, and the Microsoft Power Platform. The ideal candidate will have hands-on experience building custom copilots, integrating enterprise data sources, developing AI agents, and implementing Generative AI solutions within the Microsoft ecosystem.

Increase your chances of an interview by reading the following overview of this role before making an application.

Key Responsibilities Design, develop, and deploy Microsoft Copilot solutions using

Copilot Studio . Build custom AI agents and conversational experiences leveraging

Azure OpenAI Service . Integrate Copilot with Microsoft 365 applications including

Teams, Outlook, SharePoint, Word, Excel, and Power Platform . Develop and optimize prompts, workflows, and Retrieval-Augmented Generation (RAG) solutions. Implement enterprise-grade AI solutions with strong focus on security, compliance, and governance. Integrate external systems and APIs using Power Automate, Logic Apps, REST APIs, and Azure services. Collaborate with business stakeholders to identify AI use cases and translate requirements into scalable solutions. Monitor AI model performance and continuously improve response quality and user experience. Develop technical documentation, architecture diagrams, and best practices.

Required Skills 9+ years of software development or AI engineering experience. Hands-on experience with

Microsoft Copilot Studio

and

Microsoft 365 Copilot . Strong experience with

Azure OpenAI Service , GPT models, and Generative AI solutions. Experience with

Power Platform

(Power Apps, Power Automate, Power Virtual Agents). Proficiency in

Python, C#, JavaScript, or TypeScript . Experience with

REST APIs, Graph API, Azure Functions, Logic Apps , and Azure services. Knowledge of Prompt Engineering, RAG architecture, Vector Databases, and AI Agent frameworks. Experience integrating enterprise data sources such as SharePoint, SQL Server, Dataverse, and Azure Storage. xsgimln Strong understanding of Microsoft security and compliance frameworks.

Preferred Qualifications Microsoft certifications such as: AI-102: Azure AI Engineer Associate PL-200 / PL-400 Azure Solutions Architect Experience with: Semantic Kernel LangChain Azure AI Search Microsoft Graph API Agentic AI Solutions Copilot Extensions and Plugins