Chief Agentic AI Engineer

Accountabilities: Lead the technical design, configuration, and ongoing development of declarative and custom AI agents using Microsoft Copilot Studio and Microsoft 365 Copilot. Partner with program leadership, governance document authors, enablement teams, and engineering stakeholders to define platform requirements and agent behavior expectations. Analyze governance documentation, business requirements, and technical specifications to develop accurate, structured, and properly sourced agent configurations. Design and maintain functional and persona-based agent experiences tailored to commercial, functional, engineering, customer, and auditor audiences. Develop and optimize Retrieval-Augmented Generation (RAG) architectures to improve response accuracy, citation reliability, information security, and grounded answers. Extend native Copilot capabilities where required through Azure AI Search, Azure OpenAI, Azure AI Foundry, and Microsoft Graph connectors. Establish and maintain content architecture, metadata frameworks, taxonomies, document chunking, and tagging strategies to support effective AI retrieval. Guide search relevance tuning and agent quality assessments, using accuracy measures, adoption indicators, and user feedback to drive improvements. Identify, investigate, and document agent quality issues, providing supporting evidence, logs, and remediation recommendations. Create reusable agent configurations, prompts, runbooks, and technical documentation, ensuring efficiency, portability, traceability, and consistent quality standards. Enable on-demand generation of PowerPoint, Word, Excel, and PDF documents using approved platform content and brand-compliant templates. Implement Microsoft Purview sensitivity labels, permissions, and Data Loss Prevention (DLP) controls to ensure agents only expose information users are authorized to access. Maintain configuration artifacts and documentation in line with governance, compliance, and audit requirements. Collaborate with product, engineering, and governance teams to anticipate platform changes, review proposed designs, and validate implementations. Identify technical and delivery risks proactively, escalate critical issues, and recommend mitigation strategies for secure, high-quality deployments. Lead and contribute to Agile delivery practices, including daily stand-ups, sprint planning, backlog refinement, and retrospectives. Requirements: At least 7 years of relevant professional experience in software, platform, data, or AI solution engineering. A minimum of 2 years of experience managing or directing development teams. Strong track record of designing and delivering software, platform, and data solutions, including taking AI and Large Language Model (LLM) applications into production. Hands-on experience with Azure AI and Machine Learning services. Practical experience developing Generative AI applications and RAG-based solutions. Proficiency in Microsoft Copilot Studio for building, configuring, and maintaining AI agents. Strong knowledge of Microsoft SharePoint for enterprise content and document management. Experience with database development and solutions involving both structured and unstructured data. Understanding of content architecture, metadata, information retrieval, and data modeling. Proven ability to lead technical delivery and collaborate across distributed teams and multi-vendor stakeholder environments. Strong communication skills and professional English proficiency at C1 level. Proactive, accountable, and ownership-driven approach to problem-solving, with the ability to manage priorities and drive technical outcomes. Nice to have: Experience with AWS Bedrock, Amazon Kendra, or broader AWS cloud infrastructure. Nice to have: Experience with Azure AI Search and Azure OpenAI Service for intelligent search and Generative AI applications. Nice to have: Knowledge of Data Loss Prevention (DLP) practices and enterprise information security. Nice to have: Familiarity with GxP compliance standards or experience in healthcare and other regulated industries. Nice to have: Knowledge of knowledge graphs and techniques for representing relationships across structured information. Nice to have: Experience with LangChain and prompt engineering for LLM-powered applications. Nice to have: Familiarity with Microsoft 365 Copilot, Microsoft Azure, Microsoft Entra ID, and Microsoft Fabric. Nice to have: Experience using Microsoft Graph API and Microsoft Graph Data Connect to access Microsoft 365 data. Nice to have: Knowledge of Microsoft Power Platform, including Power Automate, for workflow automation. Nice to have: Familiarity with Microsoft Purview for governance, compliance, and data protection. Nice to have: Front-end development experience with ReactJS, TypeScript, or SharePoint Framework (SPFx). Nice to have: Relevant professional certifications in AI, cloud technologies, or related technical disciplines. Benefits: Opportunity to contribute to international projects for leading global brands. Collaboration with highly skilled and diverse teams across global locations. Healthcare benefits. Employee financial programs. Paid time off and sick leave. Professional development through upskilling, reskilling, and certification courses. Unlimited access to LinkedIn Learning, including more than 22,000 courses. Global career development opportunities. Volunteer and community involvement initiatives. Employee Groups and opportunities to connect with colleagues across the organization. Opportunity to work in an award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn. The source does not specify a salary range or the exact details of healthcare and financial benefit programs.