Overview
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In this role you will design and scale production-grade AI platforms on Microsoft Azure, aligning AI capabilities with enterprise needs. You will operate at the intersection of enterprise architecture, cloud-native engineering, and GitHub-enabled software delivery to drive responsible AI adoption. The position focuses on shaping large-scale AI transformation programs that connect business outcomes with practical architecture design. You will deliver enterprise-grade AI systems embedded in real workflows, emphasizing security, governance, observability, and engineering productivity, with a strong emphasis on responsible AI practices.
Responsabilidades
Design and scale production-grade AI platforms on Azure
Shape large-scale AI transformation programs aligned with business outcomes
Work at the intersection of enterprise architecture,



cloud-native engineering, and GitHub-enabled delivery
Address areas like Azure AI platforms, copilots, RAG, and agentic systems with governance, observability, and evaluation
Ensure secure and governed AI adoption across client engagements
Collaborate with architects, engineers, Microsoft/GitHub specialists, and client leadership to operationalize AI solutions
Deliver xqbhyrx AI-enabled workflows, including knowledge retrieval, automation, and engineering productivity
Support FinOps considerations and governance at scale
Requisitos principales
collaboration across cross-functional teams
stakeholder management
clear communication of complex technical concepts
Azure AI platforms
GitHub Copilot integration
RAG (retrieval-augmented generation)

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