Experteer Overview In this role you will lead the design and delivery of production-grade AI platforms on Azure, enabling large-scale transformations that align business outcomes with practical architectures. You will shape target architectures for AI, assistants, RAG systems, and governance across client organizations. The role combines enterprise architecture, cloud-native engineering, and responsible AI practices to deliver secure, observable, and cost-aware AI solutions embedded in real workflows. You will collaborate with cross-functional teams and drive engineering excellence, governance, and secure adoption of AI at scale. Compensaciones / Incentivos • Define target-state architectures for AI platforms, assistants, RAG systems, agents, AI gateways and AI-native engineering workflows • Lead architecture discovery, maturity assessments, technical roadmaps, platform decisions and delivery governance • Design Azure-first architectures using Foundry, Azure OpenAI, Azure AI Search, Azure API Management, AKS, Azure Functions, Application Insights, Azure Monitor, Key Vault, Entra ID, Cosmos DB, PostgreSQL and Fabric • Design AI-native engineering systems with GitHub Copilot, GitHub Enterprise, GitHub Advanced Security, agent-ready repos, secure PR practices and AI-assisted delivery patterns • Create harnesses around AI systems including agent instructions, tool contracts,



retrieval grounding, evaluation suites, telemetry, cost controls, policy controls and human gates • Define governance and operational frameworks for Responsible AI, security, identity, FinOps and observability • Translate business outcomes into target architecture and platform decisions for client leadership and delivery teams • Facilitate workshops, hackathons and enablement sessions focusing on AI adoption and engineering excellence • Convert practical experience into reusable patterns, accelerators and architectural blueprints • Mentor architects and engineers and contribute to presales and solution design initiatives Responsabilidades • experience designing and delivering enterprise-grade AI platforms on cloud • strong knowledge of Azure services relevant to AI and data (Azure OpenAI, Azure AI Search, AKS, Key Vault, Entra ID, Cosmos DB, PostgreSQL) • experience with GitHub ecosystem for secure software delivery (Copilot, Enterprise, Advanced Security) • ability to translate business requirements into target architectures and governance models • strong collaboration with clients, architects, engineers and leadership teams • experience with security, governance, cost management (FinOps) and observability practices Requisitos principales •

📌 Senior AI Architect - Microsoft Technologies (relocation to the Netherlands) (Barcelona)
🏢 Epam Systems
📍 Barcelona