Chief Agentic AI Engineer

Remote in Argentina,

AI Solution Engineering

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We have an opening for a Chief Agentic AI Engineer to become part of our team. Serving as an Agentic AI Architect centered on Microsoft 365 Copilot and knowledge platform technologies, you'll hold a vital position in designing, configuring, and constructing the AI agent, search capability, and persona-oriented experience for the organization's governance knowledge platform. You'll coordinate closely with the program lead, the people authoring governance documentation, the enablement and training group, and engineering teams to deliver a Copilot-driven agent equipped to interpret a vast, interlinked collection of governance documents. Your responsibilities will stretch across agent configuration, RAG implementation, content architecture, dependency visualization, and document lifecycle management, placing heavy emphasis on accuracy, dependable citations, and platform-independent design.

Responsibilities

Partner with the program lead, governance document authors, and engineering teams to clarify platform requirements and define expectations for agent behavior
Review governance documentation, requirements, and technical specifications to generate agent configurations that are accurate, well-structured, and properly sourced
Design, configure, and keep up Copilot agents covering both functional capabilities and persona-oriented elements of the platform
Apply thorough RAG methodologies to verify response accuracy, citation trustworthiness, and the security of grounded answers
Create and maintain content architecture, metadata frameworks, and taxonomy, incorporating proper chunking and tagging approaches to facilitate AI processing
Organize, execute, and evaluate search relevance tuning alongside agent quality indicators to measure accuracy, uptake, and feedback from users
Spot, log, and report concerns regarding agent quality, including comprehensive supporting evidence, logs, and suggested fixes
Collaborate tightly with product, engineering, and governance stakeholders to get ahead of and enable upcoming platform modifications
Produce and maintain reusable agent setups, runbooks, and reference documentation, emphasizing efficiency, transferability, and quality checkpoints
Maintain ongoing dialogue with stakeholders to pin down requirements, evaluate design proposals, and validate implementation accuracy
Keep configuration files, prompts, and runbooks organized and easy to trace, maintaining consistency with governance and audit expectations
Surface potential risks proactively, escalate major concerns when necessary, and recommend mitigation tactics to support compliant, high-quality deployments
Take an active role in Agile rituals, including daily stand-ups, sprint planning, retrospectives, and backlog refinement sessions
Design, construct, and maintain declarative and custom agents through Microsoft Copilot Studio and Microsoft 365 Copilot, anchored in SharePoint libraries, Agile QMS copies, and partner SharePoint environments
Compose and fine-tune agent instructions, topics, actions, and knowledge sources to keep responses accurate, well-cited, and consistent across different audience types
Establish persona-specific agents or behavioral configurations built for commercial, functional, engineering, customer, and auditor groups
Develop retrieval-augmented generation (RAG) patterns for cases where Copilot's native capabilities aren't enough, leveraging Azure AI Search, Azure OpenAI/Azure AI Foundry, or Microsoft Graph connectors
Facilitate on-demand generation of PowerPoint, Word, Excel, and PDF files from platform content, relying on approved brand-compliant templates
Deploy Microsoft Purview sensitivity labels, permission configurations, and data loss prevention safeguards so agents only expose content each user is authorized to view

Requirements

A minimum of 7 years of relevant, applicable experience
At least 2 years spent managing or directing development teams
Strong track record in software, platform, and data solution development, including bringing AI/LLM solutions through to production
Direct, hands-on experience with Azure AI and Machine Learning services
Database development background supporting both structured and unstructured data demands
Practical experience constructing Generative AI applications
Proficient with Microsoft Copilot Studio for building and configuring AI agents
Strong familiarity with Microsoft SharePoint for handling content and document management
Experience building RAG (Retrieval-Augmented Generation) applications
Proficient in Agile delivery approaches, with strong communication skills across distributed and multi-vendor stakeholder groups
Professional English proficiency (C1), combined with a proactive, ownership-driven approach to resolving problems

Nice to have

Experience with AWS Bedrock and Amazon Kendra supporting AI-driven and search-related features
Familiarity with Amazon Web Services for general-purpose cloud infrastructure support
Experience with Azure AI Search and Azure OpenAI Service for developing intelligent search and generative AI functionality
Awareness of Data Loss Prevention (DLP) techniques for protecting sensitive information
Background in data modeling supporting structured information architecture needs
Familiarity with GxP compliance frameworks, particularly within regulated sectors
Experience working in Healthcare or similarly regulated fields
Knowledge of knowledge graphs for connecting and representing structured data relationships
Experience using LangChain to develop LLM-powered applications
Familiarity with Microsoft 365 Copilot for productivity enhancement and AI integration purposes
Working knowledge of Microsoft Azure for cloud infrastructure and associated services
Experience with Microsoft Entra ID for managing identity and access
Familiarity with Microsoft Fabric supporting data integration and analytics work
Experience leveraging the Microsoft Graph API and Microsoft Graph Data Connect to retrieve Microsoft 365 data
Knowledge of the Microsoft Power Platform, including Power Automate, for constructing automated workflows
Familiarity with Microsoft Purview for supporting governance, compliance, and data protection objectives
Proficient in prompt engineering to design and optimize effective AI model interactions
Experience with ReactJS for constructing interactive user interfaces
Familiarity with the SharePoint Framework (SPFx) for developing custom SharePoint solutions
Proficient in TypeScript for front-end and application development work
Possessing a relevant certification, which would be regarded as a valuable bonus