Role
As AI Platform Architect, you own the AI and ML layer of the Databricks platforms Visium builds for clients on Azure: feature pipelines, model lifecycle, serving, monitoring, governance, and the templates AI Engineers use to reach production. You build the platform underneath AI use cases, not the use cases themselves, so that the solutions built on it remain reliable, scalable, secure, and trustworthy in production.
You combine hands-on ML platform engineering with solution architecture, bringing the experience of having designed and built such platforms before. You shape the architecture with client leadership, assess workloads, identify bottlenecks, and turn technical requirements into a target design and an actionable delivery proposal. You work closely with AI Solutions Architects, AI and ML Engineers, Data Engineers, and platform teams.
Responsibilities:
Design, stand up and operate ML platforms on Azure Databricks, including feature pipelines and feature management, MLflow experiment tracking, model registry, training pipelines, and batch or online serving.



Define and implement model lifecycle standards covering versioning, reproducibility, evaluation gates, promotion, deployment, rollback, and retraining. Build production-ready deployment patterns, including models exposed through APIs, automated MLflow workflows, and CI/CD pipelines for models and data. Own production monitoring for ML systems, including data and concept drift, model quality, latency, reliability, and cost, with appropriate alerting and retraining triggers. Design scalable Databricks workloads, identify architectural and performance bottlenecks, and translate findings into clear solution designs and delivery proposals. Lead decisions on ML tooling, integration patterns, and platform evolution, with Databricks as the primary platform and Azure ML used where appropriate. Build reusable templates, reference implementations, and accelerators that enable AI Engineers to move solutions into

📌 AI Platform Architect (Valencia)
🏢 Visium
📍 Valencia