Lead Agentic AI Engineer

We're seeking a Lead Agentic AI Engineer to join our organization. As an Agentic AI Architect with a focus on Microsoft 365 Copilot and knowledge-based platforms, you'll take on an essential part in architecting, configuring, and building out the AI agent, search functionality, and persona-driven experience within the organization's governance knowledge platform. You'll work in close partnership with the program lead, authors of governance documentation, the enablement and training function, and engineering teams to deliver a Copilot-powered agent capable of understanding an extensive, interconnected governance document ecosystem. Your scope of work will cover agent configuration, RAG implementation, content architecture, dependency mapping, and document lifecycle processes, with particular attention paid to accuracy, citation reliability, and platform-neutral design

Responsibilities

• Work in tandem with the program lead, governance document authors, and engineering teams to grasp platform requirements and expectations around agent behavior
• Examine governance documentation, requirements, and technical specs to produce agent configurations that are precise, clear, and properly cited
• Architect, set up, and sustain Copilot agents addressing both functional elements and persona-based aspects of the platform
• Put comprehensive RAG strategies into practice to confirm the accuracy of answers, dependability of citations, and security surrounding grounded responses
• Build and sustain content architecture, metadata, and taxonomy, applying suitable chunking and tagging methods to enable AI consumption
• Plan, carry out, and review search relevance tuning along with agent quality metrics to gauge accuracy, adoption rates, and user feedback
• Flag, document, and report issues related to agent quality, supplying thorough evidence, logs, and recommendations for remediation
• Partner closely with product, engineering, and governance stakeholders to prepare for and support forthcoming platform updates
• Build and sustain reusable agent configurations, runbooks, and documentation, with a focus on efficiency, portability, and quality control checkpoints
• Stay in regular contact with stakeholders to clarify requirements, review proposed designs, and confirm implementations are correct
• Keep configuration artifacts, prompts, and runbooks well-organized and traceable, ensuring alignment with governance and audit requirements
• Flag risks early, escalate significant issues as needed, and propose mitigation approaches to support high-quality, compliant rollouts
• Engage actively in Agile ceremonies, such as daily stand-ups, sprint planning sessions, retrospectives, and backlog grooming
• Architect, build, and sustain both declarative and custom agents within Microsoft Copilot Studio and Microsoft 365 Copilot, grounded in SharePoint libraries, Agile QMS copies, and partner SharePoint sites
• Craft and refine agent instructions, topics, actions, and knowledge sources so that responses stay accurate, properly cited, and consistent regardless of audience
• Set up persona-specific agents or behavior patterns designed for commercial, functional, engineering, customer, and auditor audiences
• Construct retrieval-augmented generation (RAG) patterns for situations where Copilot alone falls short, utilizing Azure AI Search, Azure OpenAI/Azure AI Foundry, or Microsoft Graph connectors
• Support on-demand creation of PowerPoint, Word, Excel, and PDF documents from platform content, using approved branded templates
• Implement Microsoft Purview sensitivity labels, permission structures, and data loss prevention measures to ensure the agent surfaces only content each user is cleared to access

Requirements

• At least 5 years of applicable experience in the field
• A minimum of one year spent leading or managing development teams
• Solid background in software, platform, and data solution development, including taking AI/LLM solutions live in production environments
• Direct experience working with Azure AI and Machine Learning services
• Experience in database development supporting both structured and unstructured data requirements
• Hands-on background in building Generative AI applications
• Skilled in using Microsoft Copilot Studio to construct and configure AI agents
• Solid working familiarity with Microsoft SharePoint for managing content and documentation
• Background developing RAG (Retrieval-Augmented Generation) applications
• Skilled in Agile delivery practices along with strong communication across distributed teams and multiple vendor stakeholders
• Professional-level English proficiency (C1), paired with a proactive and accountable mindset toward problem-solving

Nice to have

• Background with AWS Bedrock and Amazon Kendra supporting AI and search functionality
• Familiarity with Amazon Web Services for broader cloud infrastructure needs
• Background with Azure AI Search and Azure OpenAI Service for constructing inte