Senior Agentic AI Engineer
New
J
JobgetherEnterprise governance
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Professional proficiency in English at C1 level.
- Experience
- At least 3 years of relevant professional experience.
- Required Skills
- AgileGenerative AI
Requirements
- At least 3 years of relevant professional experience.
- Strong background in software, platform, and data solution development, including delivering AI and 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 managing structured and unstructured data.
- Understanding of information architecture, content organization, and data modeling principles.
- Familiarity with Agile delivery practices and communicating across distributed teams and multi-vendor stakeholder groups.
- Professional proficiency in English at C1 level.
- 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, DLP practices, or enterprise information security.
- Nice to have: Familiarity with GxP compliance standards or healthcare and other regulated industries.
- Nice to have: Knowledge of knowledge graphs, LangChain, and prompt engineering.
- Nice to have: Familiarity with Microsoft 365 Copilot, Azure, Entra ID, Fabric, Microsoft Graph, Power Platform, Purview, ReactJS, TypeScript, or SPFx; relevant professional certifications.
Responsibilities
- Collaborate with program leads, governance document authors, and engineering teams to clarify platform requirements, user needs, and agent behavior.
- Analyze governance documentation, technical specifications, and business requirements to create accurate, structured, and 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 sources.
- Develop persona-based agent experiences for commercial, functional, engineering, customer, and auditor audiences.
- Implement and optimize RAG strategies to improve answer accuracy, citation reliability, security, and consistency.
- Extend Copilot capabilities using 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 for AI retrieval.
- Tune search relevance and evaluate agent quality through testing, performance measures, adoption data, and user feedback.
- Apply Microsoft Purview sensitivity labels, access permissions, and DLP controls, and document quality issues and remediation recommendations.
- Maintain reusable agent configurations, prompts, runbooks, and technical documentation; coordinate designs and implementations and participate in Agile delivery activities.
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