Agentic AI Engineer - Microsoft

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This role in remote or based in Nashville, TN. Role summary We are seeking an experienced Agentic AI Engineer to design, develop, and deploy intelligent AI agents using the Microsoft AI ecosystem. The ideal candidate will leverage Microsoft Copilot Studio, Azure OpenAI Service, Azure AI Foundry, Microsoft Fabric, Power Platform, and Microsoft 365 Copilot to build autonomous, goal-oriented AI solutions that automate business processes, enhance decision-making, and improve operational efficiency.The role requires expertise in generative AI, orchestration frameworks, enterprise integrations,responsible AI practices and Automation testing. Your role • Designed and developed Agentic AI solutions using Microsoft Copilot Studio, Azure OpenAI Service, Azure AI Foundry, and Microsoft 365 Copilot to automate complex business processes and enhance enterprise productivity. • Built autonomous AI agents capable of reasoning, planning, memory management, and multi-step task execution, leveraging Copilot Studio topics, actions, plugins, and custom connectors. • Developed Retrieval-Augmented Generation (RAG) architectures using Azure AI Search, vector indexes, SharePoint, Dataverse, and enterprise knowledge repositories to deliver context-aware and grounded responses. • Integrated AI agents with Microsoft Teams, SharePoint Online, Outlook, Dynamics 365, ServiceNow to enable intelligent workflow orchestration and seamless business process automation. • Implemented multi-agent and tool-based architectures using Azure OpenAI function calling, Azure Logic Apps, and Power Automate, enabling autonomous decision-making and task completion across enterprise systems. • Led automation testing initiatives by developing and maintaining test automation frameworks for web and API applications using Selenium, Playwright, REST Assured, Azure DevOps, and CI/CD pipelines, ensuring high-quality and reliable software releases. • Established Responsible AI and governance frameworks, including prompt safety, access controls, data privacy compliance, monitoring, auditability, and human-in-the-loop approval mechanisms. • Optimized AI agent performance through prompt engineering, grounding strategies, semantic search, response evaluation, and continuous improvement of accuracy, reliability, and user experience. • Collaborated with business stakeholders, product owners, and solution architects to identify AI transformation opportunities and deliver scalable enterprise-grade Agentic AI solutions aligned with business objectives. Your Skills And Experience • Extensive experience designing and implementing Agentic AI solutions using Microsoft Copilot Studio, Azure OpenAI Service, Azure AI Foundry, and Microsoft 365 Copilot to automate business workflows and improve operational efficiency. • Strong expertise in building autonomous AI agents with capabilities such as reasoning, planning, memory management, tool calling, and multi-step workflow orchestration across enterprise applications. • Hands-on experience developing RAG (Retrieval-Augmented Generation) solutions using Azure AI Search, vector databases, SharePoint Online, Dataverse, and enterprise knowledge repositories to enable accurate and context-aware responses. • Proven ability to integrate AI agents with Microsoft Teams, SharePoint, Outlook, Dynamics 365, ServiceNow, SAP, and REST APIs, enabling seamless enterprise automation and intelligent decision-making. • Skilled in prompt engineering, grounding strategies, semantic search, and AI response evaluation, optimizing agent accuracy, reliability, user experience, and business outcomes. • Experience implementing Responsible AI, governance, security, and compliance frameworks, including human-in-the-loop controls, monitoring, auditing, and data privacy best practices. • Proficient in developing scalable cloud-native AI solutions using Azure Functions, Logic Apps, Power Automate, Power Platform, Python, C#, and RESTful services. • Strong background in automation testing, with experience building and maintaining web and API automation frameworks using Selenium, Playwright, REST Assured, Azure DevOps, and CI/CD pipelines to ensure high-quality software delivery. The base compensation range for this role in the posted location is $101,140 - $182,624. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may