Senior AI Platform Architect — Azure Databricks & MLOps

Visium SA; Valencia; Remote; EUR 90,000 - 150,000; Full time

Job summary

Visium SA is seeking an experienced freelancer to advise and support an internal platform team in designing, building, and improving an AI platform on Azure Databricks. The role is internal only, with no client-facing responsibilities.

The freelancer will act as a senior technical reference, shaping architecture, establishing standards, reviewing implementations, and mentoring engineers to build a reliable, scalable and secure platform.

Qualifications

• Extensive experience in data/ML/platform engineering or MLOps.
• Strong hands-on Azure Databricks experience in production (min 3 years).
• Mentor engineers and drive technical standards.
• Experience with CI/CD/CT pipelines and IaC practices.
• Secure, private-network cloud environments and handling sensitive data.

Responsibilities

• Define target architecture on Azure Databricks across workspaces and environments.
• Advise on CI/CD/CT pipelines, model registry workflows and continuous training.
• Review architecture decisions, code and Terraform configurations.
• Define reusable MLOps standards and templates.
• Support platform reliability, security and governance.
• Hands‑on contribution to unblock the team and implement references.
• Coach engineers, perform design/code reviews, transfer knowledge.

Skills

Python

PySpark

ML engineering

MLOps

Azure Databricks

Terraform

CI/CD

GitLab

Data governance

Security

Cloud services

VNet, private endpoints

Vector Search

Mosaic AI Agent Framework

AI/GenAI

Tools

Databricks

Unity Catalog

Model registry

MLflow

Azure ADLS Gen2

Key Vault

Job description

Visium SA is seeking an experienced freelancer to advise and support an internal platform team in designing, building, and improving an AI platform on Azure Databricks. The role is internal only, with no client-facing responsibilities.

The freelancer will act as a senior technical reference, shaping architecture, establishing standards, reviewing implementations, and mentoring engineers to build a reliable, scalable and secure platform.