We are looking for a Senior Agentic AI Engineer to join our team. As an Agentic AI Architect specializing in Microsoft 365 Copilot and knowledge platforms, you will play a critical role in designing, configuring, and building the AI agent, search, and persona-based experience of the organization's governance knowledge platform. You will collaborate closely with the program lead, governance document authors, the enablement and training team, and engineering teams to deliver a Copilot-based agent that understands a large, connected governance document estate. Your work will span agent configuration, RAG implementation, content architecture, dependency visualization, and document lifecycle workflows, with a strong emphasis on accuracy, citation integrity, and platform-agnostic design. Responsibilities Collaborate with the program lead, governance document authors, and engineering teams to understand platform requirements and agent behavior expectations Analyze governance documentation, requirements, and technical specifications to create clear, accurate, and well-cited agent configurations Design, configure, and maintain Copilot agents covering functional and persona-based aspects of the platform Implement comprehensive RAG strategies to validate answer accuracy, citation reliability, and security of grounded responses Develop and maintain content architecture, metadata, and taxonomy with appropriate chunking and tagging to support AI consumption Plan, execute, and analyze search relevance tuning and agent quality measures to assess accuracy, adoption, and user feedback Identify, document, and report agent quality issues with detailed evidence, logs, and remediation recommendations Work closely with product, engineering, and governance stakeholders to anticipate and support upcoming platform changes Develop and maintain reusable agent configurations, runbooks, and documentation, focusing on efficiency, portability, and quality gates Communicate actively with stakeholders to clarify requirements, review designs, and verify implementations Maintain organized and traceable configuration artifacts, prompts, and runbooks, ensuring compliance with governance and audit standards Proactively identify risks, escalate critical issues, and suggest mitigation strategies to ensure high-quality, compliant deployments Participate actively in Agile ceremonies, including stand-ups, sprint planning, retrospectives, and backlog grooming Design, implement, and maintain declarative and custom agents in Microsoft Copilot Studio and Microsoft 365 Copilot, grounded on SharePoint libraries, Agile QMS copies, and partner SharePoint sites Write and tune agent instructions, topics, actions, and knowledge sources so answers remain accurate, cited, and consistent across audiences Configure persona-specific agents or behaviors tailored for commercial, functional, engineering, customer, and auditor audiences Build retrieval-augmented generation (RAG) patterns where Copilot alone is insufficient, using Azure AI Search, Azure OpenAI/Azure AI Foundry, or Microsoft Graph connectors Enable on-demand generation of PowerPoint, Word, Excel, and PDF outputs from platform content using approved brand templates Apply Microsoft Purview sensitivity labels, permissions, and data loss prevention controls so the agent only surfaces content each user is authorized to see Requirements A minimum of 3 years of relevant experience Strong experience in software, platform, and data solution development, including delivering AI/LLM solutions to production Hands-on experience with Azure AI and Machine Learning services Background in database development to support structured and unstructured data needs Practical experience in Generative AI application development Proficiency with Microsoft Copilot Studio for building and configuring AI agents Strong working knowledge of Microsoft SharePoint for content and document management Experience developing RAG (Retrieval-Augmented Generation) applications Proficiency in Agile delivery methods and effective communication across distributed, multi-vendor stakeholder groups Professional proficiency in English (C1) and a proactive, accountable approach to problem-solving Nice to have Experience with AWS Bedrock and Amazon Kendra for AI and search-related capabilities Familiarity with Amazon Web Services for general cloud infrastructure support Experience with Azure AI Search and Azure OpenAI Service for building intelligent search and generative AI solutions Knowledge of Data Loss Prevention (DLP) practices to protect sensitive information Background in data modeling to support structured information architecture Familiarity with GxP compliance standards, particularly within regulated industries Experience within the Healthcare industry or similar regulated environments Knowledge of knowledge graphs for representing and connecting structured information Experience with LangChain for building LLM-powered applications Familiarity with Microsoft 365 Copilot for enterprise productivity and AI integration Working knowledge of Microsoft Azure for cloud infrastructure and services Experience with Microsoft Entra ID for identity and access management Familiarity with Microsoft Fabric for data integration and analytics Experience using the Microsoft Graph API and Microsoft Graph Data Connect for accessing Microsoft 365 data Knowledge of the Microsoft Power Platform, including Power Automate, for building automated workflows Familiarity with Microsoft Purview for governance, compliance, and data protection Skilled in prompt engineering to design and refine effective AI model interactions Experience with ReactJS for building interactive user interfaces Familiarity with the SharePoint Framework (SPFx) for custom SharePoint development Proficiency in TypeScript for front-end and application development Relevant certification, which would be considered a valuable addition to your qualifications
