AI Agent Developer

Position: AI Agent Developer Location: Upper Gwynedd, PA***Hybrid*** Duration: 1 Years Expert AI Agent Developer - Learning Technologies & Intelligent Automation Key Responsibilities Design, develop, and deploy intelligent agents and copilots using Microsoft Copilot Studio, Azure AI Foundry, and Google Gemini. Build agent-driven experiences that support learning discovery, skills development, knowledge retrieval, content recommendations, and employee enablement.Develop Azure Functions, APIs, and serverless services to support agent orchestration, integrations, and automation workflows.Create Retrieval-Augmented Generation (RAG) solutions leveraging enterprise content repositories and learning platforms.Integrate AI solutions with learning technologies such as Workday Learning, SuccessFactors, Viva Learning, LinkedIn Learning, and other content providers.Develop custom connectors and integrations with applications like - Microsoft 365, SharePoint, Teams, Power Platform, and our other enterprise systems.Collaborate with product managers and business stakeholders to identify high-value AI use cases and translate requirements into scalable solutions.Establish prompt libraries, agent instructions, evaluation frameworks, governance controls, and monitoring practices.Support technical architecture, proof-of-concept development, pilot programs, and production deployments.Stay current on emerging capabilities across Microsoft Copilot, Azure AI, Gemini, and agentic AI frameworks. Skill Requirements 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:PythonJavaScript/TypeScriptAzure FunctionsREST APIsMicrosoft Graph APIExperience 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.