# Chief Agentic AI Engineer Source: https://realanalystjobs.com/job/chief-agentic-ai-engineer-jobgether-d24e5312 Chief Agentic AI Engineer at Jobgether, based in Brazil. Experience level: 7 Years. Posted on 12 November 2026, read from Jobgether's own careers page (Lever), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Jobgether](https://realanalystjobs.com/companies/jobgether) - Location: Brazil - Posted: Nov 12, 2026 - Employment type: Full time - Experience level: 7 Years - Source: Jobgether's careers page (Lever), re-checked daily Skills: [Excel](https://realanalystjobs.com/skills/excel), AWS, Azure ## About this role This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Chief Agentic AI Engineer based in Brazil. We are seeking a senior technical leader to shape the architecture and development of an enterprise-grade, agentic AI knowledge platform. In this role, you will combine strategic technical direction with hands-on expertise in Microsoft 365 Copilot, Generative AI, and enterprise search. You will lead the design of intelligent agents capable of navigating complex governance documentation and delivering accurate, secure, and well-cited answers. Your scope will include RAG architecture, content strategy, persona-based experiences, and document lifecycle automation. You will work closely with program leadership, engineering teams, and governance stakeholders to translate business needs into scalable AI solutions. This is an opportunity to lead technical teams, drive innovation, and establish high standards for trustworthy AI in a complex enterprise environment. 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 Description from Jobgether's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/chief-agentic-ai-engineer-jobgether-d24e5312) and use Apply now there to reach the employer's application. The listing is re-checked against Jobgether's careers page daily and removed when it closes. ## Jobgether 198 open analyst roles on Real Analyst Jobs. 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