Senior AI Platform Architect – Databricks on Azure

Visium; Valencia; On-site; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Education budget

Sport budget

Flexible working culture

Impact on thousands of people

International, collaborative team

Job summary

Visium is seeking an AI Platform Architect to own the ML layer on Azure Databricks for client projects in Valencia. You will design feature pipelines, model lifecycle, serving, monitoring, and governance, creating reusable templates to productionize AI workflows.

You will combine hands-on ML platform engineering with solution architecture, shaping designs and delivery, and mentoring cross-functional teams across AI, data and platform domains.

Qualifications

• 5+ years in MLOps, ML platform engineering, or similar.
• Proven experience building and standing up ML/AI platforms.
• Experience taking models to production with reliability and lifecycle management.
• Deep hands-on Databricks experience; Azure Databricks preferred.
• Experience designing scalable Databricks solutions and diagnosing workload bottlenecks.
• Strong CI/CD for models and data, beyond infra deployment.
• Knowledge of containers and model-serving patterns; Terraform/IaC.
• Cloud networking and security, IAM, encryption, governance, observability.
• GenAI patterns with Azure OpenAI or Azure AI Foundry, RAG, vector search, guardrails.
• Client-facing experience; ability to influence senior stakeholders.
• Mentoring skills for engineering teams; pragmatic delivery approach.
• Willingness for business travel.

Responsibilities

• Design, stand up and operate ML platforms on Azure Databricks including feature pipelines and model serving.
• Define and enforce model lifecycle standards with versioning and retraining.
• Build production deployment patterns with APIs and CI/CD for models and data.
• Own production monitoring for data quality, drift, latency, and cost with alerts.
• Identify bottlenecks and translate findings into clear solution designs.
• Lead decisions on ML tooling and platform evolution, with Databricks and Azure ML.
• Create reusable templates and accelerators to move solutions into production.
• Establish ML governance: lineage, audit trails, documentation, access controls.
• Support GenAI delivery with Azure OpenAI, vector search, guardrails.
• Align ML platforms with client standards and data platforms.

Skills

MLOps

ML platform engineering

Databricks

Azure Databricks

MLflow

CI/CD for models

Terraform

Kubernetes / AKS

Cloud security & governance

Stakeholder communication

mentorship

Tools

Databricks

Azure Databricks

MLflow

Unity Catalog

CI/CD tooling

Terraform

Kubernetes

AKS

Job description

Visium is seeking an AI Platform Architect to own the ML layer on Azure Databricks for client projects in Valencia. You will design feature pipelines, model lifecycle, serving, monitoring, and governance, creating reusable templates to productionize AI workflows.

You will combine hands-on ML platform engineering with solution architecture, shaping designs and delivery, and mentoring cross-functional teams across AI, data and platform domains.