Expert AI with Microsoft Copilot Studio- W2 Candidates Only

Required Qualifications • 5+ years of software development, solution architecture, or platform engineering experience. • Proven experience developing applications using Microsoft Copilot Studio and Azure AI Services. • Strong hands-on development skills in: o Python o JavaScript/TypeScript o Azure Functions o REST APIs o Microsoft Graph API • Experience developing solutions using Google Gemini APIs and agent frameworks. • Experience designing RAG architectures using vector databases, embeddings, and enterprise knowledge repositories. • Experience integrating enterprise SaaS platforms and learning systems. • Strong understanding of prompt engineering, agent orchestration, tool calling, memory, grounding, and evaluation methodologies. • Experience working within enterprise security, compliance, and governance requirements. • Excellent communication and stakeholder management skills.

 

 

 

• 5+ years of software development, solution architecture, or platform engineering experience.
• Proven experience developing applications using Microsoft Copilot Studio and Azure AI Services.
• Strong hands-on development skills in:
  • Python
  • JavaScript/TypeScript
  • Azure Functions
  • REST APIs
  • Microsoft Graph API
• Experience developing solutions using Google Gemini APIs and agent frameworks.
• Experience designing RAG architectures using vector databases, embeddings, and enterprise knowledge repositories.
• Experience integrating enterprise SaaS platforms and learning systems.
• Strong understanding of prompt engineering, agent orchestration, tool calling, memory, grounding, and evaluation methodologies.
• Experience working within enterprise security, compliance, and governance requirements.
• Excellent communication and stakeholder management skills.

• Experience with Viva Learning, Workday Learning, LinkedIn Learning, Degreed, SuccessFactors, or other enterprise learning ecosystems.
• Experience building custom Copilot extensions, plugins, actions, and connectors.
• Familiarity with Azure AI Search, Azure Functions, Logic Apps, Power Automate, and Power Platform.
• Experience implementing skills inference, learning recommendations, talent marketplace, or career development solutions.
• Knowledge of HR, Learning & Development, Digital Adoption, or Workforce Transformation domains.
• Experience working in regulated environments with strong privacy and compliance requirements.

• Production-ready AI agents and copilots supporting learning and workforce enablement use cases.
• Reusable Azure Function and API services supporting enterprise AI solutions.
• Integrations between AI platforms and enterprise learning technologies.
• Technical documentation, architecture diagrams, and deployment procedures.
• Pilot solutions that demonstrate measurable improvements in learner engagement, knowledge discovery, productivity, or operational efficiency.