We have an opening for a Chief Agentic AI Engineer to become part of our team. Serving as an Agentic AI Architect centered on Microsoft 365 Copilot and knowledge platform technologies, you'll hold a vital position in designing, configuring, and constructing the AI agent, search capability, and persona-oriented experience for the organization's governance knowledge platform. You'll coordinate closely with the program lead, the people authoring governance documentation, the enablement and training group, and engineering teams to deliver a Copilot-driven agent equipped to interpret a vast, interlinked collection of governance documents. Your responsibilities will stretch across agent configuration, RAG implementation, content architecture, dependency visualization, and document lifecycle management, placing heavy emphasis on accuracy, dependable citations, and platform-independent design. Responsibilities Partner with the program lead, governance document authors, and engineering teams to clarify platform requirements and define expectations for agent behavior Review governance documentation, requirements, and technical specifications to generate agent configurations that are accurate, well-structured, and properly sourced Design, configure, and keep up Copilot agents covering both functional capabilities and persona-oriented elements of the platform Apply thorough RAG methodologies to verify response accuracy, citation trustworthiness, and the security of grounded answers Create and maintain content architecture, metadata frameworks, and taxonomy, incorporating proper chunking and tagging approaches to facilitate AI processing Organize, execute, and evaluate search relevance tuning alongside agent quality indicators to measure accuracy, uptake, and feedback from users Spot, log, and report concerns regarding agent quality, including comprehensive supporting evidence, logs, and suggested fixes Collaborate tightly with product, engineering, and governance stakeholders to get ahead of and enable upcoming platform modifications Produce and maintain reusable agent setups, runbooks, and reference documentation, emphasizing efficiency, transferability, and quality checkpoints Maintain ongoing dialogue with stakeholders to pin down requirements, evaluate design proposals, and validate implementation accuracy Keep configuration files, prompts, and runbooks organized and easy to trace, maintaining consistency with governance and audit expectations Surface potential risks proactively, escalate major concerns when necessary, and recommend mitigation tactics to support compliant, high-quality deployments Take an active role in Agile rituals, including daily stand-ups, sprint planning, retrospectives, and backlog refinement sessions Design, construct, and maintain declarative and custom agents through Microsoft Copilot Studio and Microsoft 365 Copilot, anchored in SharePoint libraries, Agile QMS copies, and partner SharePoint environments Compose and fine-tune agent instructions, topics, actions, and knowledge sources to keep responses accurate, well-cited, and consistent across different audience types Establish persona-specific agents or behavioral configurations built for commercial, functional, engineering, customer, and auditor groups Develop retrieval-augmented generation (RAG) patterns for cases where Copilot's native capabilities aren't enough, leveraging Azure AI Search, Azure OpenAI/Azure AI Foundry, or Microsoft Graph connectors Facilitate on-demand generation of PowerPoint, Word, Excel, and PDF files from platform content, relying on approved brand-compliant templates Deploy Microsoft Purview sensitivity labels, permission configurations, and data loss prevention safeguards so agents only expose content each user is authorized to view Requirements A minimum of 7 years of relevant, applicable experience At least 2 years spent managing or directing development teams Strong track record in software, platform, and data solution development, including bringing AI/LLM solutions through to production Direct, hands-on experience with Azure AI and Machine Learning services Database development background supporting both structured and unstructured data demands Practical experience constructing Generative AI applications Proficient with Microsoft Copilot Studio for building and configuring AI agents Strong familiarity with Microsoft SharePoint for handling content and document management Experience building RAG (Retrieval-Augmented Generation) applications Proficient in Agile delivery approaches, with strong communication skills across distributed and multi-vendor stakeholder groups Professional English proficiency (C1), combined with a proactive, ownership-driven approach to resolving problems Nice to have Experience with AWS Bedrock and Amazon Kendra supporting AI-driven and search-related features Familiarity with Amazon Web Services for general-purpose cloud infrastructure support Experience with Azure AI Search and Azure OpenAI Service for developing intelligent search and generative AI functionality Awareness of Data Loss Prevention (DLP) techniques for protecting sensitive information Background in data modeling supporting structured information architecture needs Familiarity with GxP compliance frameworks, particularly within regulated sectors Experience working in Healthcare or similarly regulated fields Knowledge of knowledge graphs for connecting and representing structured data relationships Experience using LangChain to develop LLM-powered applications Familiarity with Microsoft 365 Copilot for productivity enhancement and AI integration purposes Working knowledge of Microsoft Azure for cloud infrastructure and associated services Experience with Microsoft Entra ID for managing identity and access Familiarity with Microsoft Fabric supporting data integration and analytics work Experience leveraging the Microsoft Graph API and Microsoft Graph Data Connect to retrieve Microsoft 365 data Knowledge of the Microsoft Power Platform, including Power Automate, for constructing automated workflows Familiarity with Microsoft Purview for supporting governance, compliance, and data protection objectives Proficient in prompt engineering to design and optimize effective AI model interactions Experience with ReactJS for constructing interactive user interfaces Familiarity with the SharePoint Framework (SPFx) for developing custom SharePoint solutions Proficient in TypeScript for front-end and application development work Possessing a relevant certification, which would be regarded as a valuable bonus
