Chief Agentic AI Engineer
New
J
JobgetherAgentic AI
Based in BrazilFull-TimePrincipal
Salary not disclosed
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Job Details
- Languages
- Professional English proficiency at C1 level
- Experience
- 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.
- Required Skills
- Machine LearningGenerative AI
Requirements
- At least 7 years of relevant professional experience in software, platform, data, or AI solution engineering.
- At least 2 years of experience managing or directing development teams.
- A strong track record designing and delivering software, platform, and data solutions, including taking AI and 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 structured and unstructured data.
- Understanding of content architecture, metadata, information retrieval, and data modeling.
- Ability to lead technical delivery and collaborate across distributed teams and multi-vendor stakeholder environments.
- Professional English proficiency at C1 level.
Responsibilities
- 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.
- Analyze governance documentation, business requirements, and technical specifications to develop structured, properly sourced agent configurations.
- Design and maintain persona-based agent experiences for commercial, functional, engineering, customer, and auditor audiences.
- Develop and optimize RAG architectures for response accuracy, citation reliability, information security, and grounded answers.
- Extend Copilot capabilities through Azure AI Search, Azure OpenAI, Azure AI Foundry, and Microsoft Graph connectors.
- Establish content architecture, metadata frameworks, taxonomies, document chunking, and tagging strategies for AI retrieval.
- Guide search relevance tuning and agent quality assessments using accuracy measures, adoption indicators, and user feedback.
- Implement Microsoft Purview sensitivity labels, permissions, and DLP controls, and maintain configuration artifacts for governance, compliance, and audit requirements.
- Lead and contribute to Agile delivery practices, including stand-ups, sprint planning, backlog refinement, and retrospectives.
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