Experteer Overview

Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.

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 / Ventajas

- 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 xugodme 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

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