Senior Agentic AI Engineer

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