Senior Agentic AI Engineer

BrazilRemoteFull-timesenior

Machine Learning EngineerData

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Quick Summary

Overview

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Agentic AI Engineer based in Brazil.

Technical Tools

Machine Learning EngineerData

We are looking for an experienced AI engineer to design and build intelligent, agent-driven experiences for an enterprise governance knowledge platform. In this role, you will work at the intersection of Generative AI, enterprise search, content architecture, and Microsoft 365 technologies. You will develop and configure AI agents that can understand complex documentation, deliver reliable answers, and adapt to the needs of different user groups. A strong focus will be placed on retrieval accuracy, citation integrity, information security, and scalable platform design. Working closely with engineering, product, and governance stakeholders, you will help turn large document ecosystems into accessible, trusted knowledge. This is an opportunity to contribute to advanced AI solutions in a collaborative, international environment.

Collaborate with program leads, governance document authors, and engineering teams to understand platform requirements, user needs, and expected agent behavior.
Analyze governance documentation, technical specifications, and business requirements to create accurate, well-structured, and properly cited agent configurations.
Design, configure, and maintain declarative and custom AI agents using Microsoft Copilot Studio and Microsoft 365 Copilot, grounded in SharePoint libraries and other approved knowledge sources.
Develop and maintain persona-based agent experiences tailored to commercial, functional, engineering, customer, and auditor audiences.
Implement and optimize Retrieval-Augmented Generation (RAG) strategies to improve answer accuracy, citation reliability, security, and consistency.
Extend Copilot capabilities where needed through Azure AI Search, Azure OpenAI, Azure AI Foundry, Microsoft Graph connectors, and related technologies.
Build and maintain content architectures, metadata, taxonomies, document chunking, and tagging strategies to support effective AI retrieval and consumption.
Tune search relevance and assess agent quality through testing, performance measures, adoption data, and user feedback.
Identify, document, and report agent quality issues, providing evidence, logs, and practical recommendations for remediation.
Configure agent instructions, topics, actions, and knowledge sources to ensure reliable responses across different audiences and use cases.
Enable on-demand generation of PowerPoint, Word, Excel, and PDF documents using approved content and brand templates.
Apply Microsoft Purview sensitivity labels, access permissions, and Data Loss Prevention (DLP) controls to ensure users only access information they are authorized to see.
Maintain reusable agent configurations, prompts, runbooks, technical documentation, and traceable configuration artifacts in line with governance and audit requirements.
Coordinate with product, engineering, and governance stakeholders to anticipate platform changes, clarify requirements, review designs, and validate implementations.
Proactively identify deployment risks, escalate critical issues, and recommend mitigation strategies to maintain quality and compliance.
Participate in Agile delivery activities, including daily stand-ups, sprint planning, backlog refinement, and retrospectives.

Requirements

~2 min read

At least 3 years of relevant professional experience.
Strong background in software, platform, and data solution development, including delivering AI and Large Language Model (LLM) solutions into production.
Hands-on experience with Azure AI and Machine Learning services.
Practical experience developing Generative AI applications and implementing RAG solutions.
Proficiency with Microsoft Copilot Studio for building, configuring, and maintaining AI agents.
Strong working knowledge of Microsoft SharePoint for enterprise content and document management.
Experience with database development and the management of structured and unstructured data.
Understanding of information architecture, content organization, and data modeling principles.
Familiarity with Agile delivery practices and the ability to communicate effectively across distributed teams and multi-vendor stakeholder groups.
Professional proficiency in English at C1 level.
Proactive, accountable, and analytical approach to problem-solving, with strong collaboration and communication skills.
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 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 methods for connecting 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, Microsoft Fabric, Microsoft Graph API, and Microsoft Graph Data Connect.
Nice to have: Experience with Microsoft Power Platform, including Power Automate, and Microsoft Purview for workflow automation, governance, 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 disciplines.