Cloud Platform Engineer (Automation) (m/w/d)

Job summary

The Cloud Platform Engineer (Automation) role involves developing and deploying intelligent agent and automation solutions by integrating AI Engineering, Data Engineering, and Cloud Architecture. Key responsibilities include designing scalable AI solutions on Databricks and Azure, implementing CI/CD and MLOps processes, and ensuring secure integration of internal data sources and APIs.

Qualifications

• Several years of experience as AI Engineer, Machine Learning Engineer, Data Engineer, Cloud Engineer, or similar role
• Practical experience in developing applications with large language models
• Strong knowledge of Python and SQL
• Solid experience with Databricks
• Good knowledge of Microsoft Azure platform
• Experience in integrating APIs, data sources, and enterprise systems
• Practical experience with CI/CD, MLOps, and Infrastructure as Code
• Solid understanding of cloud security, data protection, and AI governance

Responsibilities

• Design and develop productive agentic AI solutions on Databricks and Azure
• Develop AI agents and multi-agent workflows
• Implement RAG, tool-calling, and workflow architectures
• Integrate Azure OpenAI and other foundation models
• Develop data and processing pipelines on Databricks
• Utilize Databricks Mosaic AI and MLflow
• Automate data and AI-driven processes with Databricks workflows
• Design Azure and Databricks architecture for secure operations
• Establish CI/CD and MLOps processes
• Develop quality and evaluation procedures for AI applications
• Ensure secure and traceable operations
• Securely integrate internal data sources, systems, and APIs
• Collaborate closely with product owners and cross-functional teams
• Document architectures, data flows, agent logic, and operational processes

Skills

Relocation