| Role Details |
– Microsoft Copilot Studio AI Lead
Key Skills Required
- Deep expertise in Microsoft Copilot Studio and AI Agent development
- Hands-on experience with Azure OpenAI, LLMs, and Generative AI solutions
- Experience designing and implementing enterprise-grade AI assistants and copilots
- Strong knowledge of Microsoft 365 ecosystem and Power Platform
- Experience integrating AI solutions with APIs, Dataverse, SharePoint, Teams, and enterprise systems
- Expertise in Prompt Engineering, AI Grounding, and Retrieval-Augmented Generation (RAG), Vector Database, Azure AI Foundry.
- Strong understanding of AI Governance, Security, Compliance, and Responsible AI practices
- Experience leading technical teams, architecture reviews, and AI initiatives
Mandatory Skills Required
- Generative AI and Conversational AI
- Microsoft 365 Copilot Extensibility
- Azure OpenAI Services
- Prompt Engineering and AI Governance
- Power Platform (Power Apps, Power Automate, Dataverse)
- Knowledge Management and Enterprise Search
- API Integration and Custom Connectors
- Solution Architecture and Enterprise Integration
- AI Security, Compliance, and Responsible AI
Required Work Experience
- 15+ years of overall IT experience
- 10+ years of experience in Power Platform and Microsoft ecosystem technologies
- 3+ years of hands-on experience in Generative AI, Conversational AI, or Copilot solutions
- Proven experience delivering enterprise-scale AI transformation programs
- Strong experience in solution architecture, governance, and technology strategy
Nice to Have
- Microsoft Copilot Studio Certification
- Microsoft Applied Skills for AI Agent Development
- Azure AI Engineer Associate (AI-102)
- Azure Solutions Architect Expert (AZ-305)
- Power Platform Solution Architect Certification (PL-600)
- Experience with Microsoft AI Foundry and Azure AI Services
- Experience with Semantic Kernel, LangChain, or similar AI frameworks
- Knowledge of Machine Learning and Predictive Analytics
- Experience implementing RAG, Vector Databases, and Knowledge Graphs
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