Senior AI / MLOps Engineer (Azure)

TL;DR

Senior AI / MLOps Engineer (Azure/Databricks): Developing agentic AI systems and MLOps pipelines to optimize mobility services with an accent on A2A communication and AI alignment with business goals. Focus on building MCP servers, designing CI/CD for AI deployment, and operationalizing LLM orchestration using LangChain and Azure.

Location: Madrid, Spain (Remote working options available)

Company

A globally leading B2B company specializing in mobility and elevator solutions.

What you will do

• Build and maintain MCP servers and establish seamless A2A communication to interconnect AI agents.
• Translate business requirements into technical AI deliverables to ensure alignment with business value.
• Develop AI use cases to increase productivity within the product development cycle (PMP).
• Design and maintain automated deployment pipelines using GitHub Actions, Azure DevOps, and Docker.
• Supervise data pipeline preparation for global use cases, including the Common Data Platform (CDP) rollout.

Requirements

• Master's degree in Computer Science, Software Engineering, or a related field.
• 7+ years of professional experience, with the majority spent in AI / MLOps.
• Strong programming skills in Python and deep experience with Microsoft Azure (AI Search, Container Apps, Foundry).
• Hands-on expertise with the Databricks ecosystem (Delta Lake, Unity Catalog, MLFlow, Mosaic AI).
• Solid foundation in modern DevOps practices, including Docker, CI/CD pipelines, Bicep, or Terraform.
• Experience with agentic frameworks such as LangChain or LangGraph and LLM orchestration.

Culture & Benefits

• Flexible working hours and remote working options.
• High standards of health promotion and comprehensive healthcare activities.
• Individual support for onboarding and professional training programs.
• Creative environment with a no-blame culture for trying new solutions.
• Modern workplaces with subsidized canteen meals, free parking, and discounted public transport.