AI Engineer

Capgemini is hiring an AI Engineer to build and productionise scalable AI and Generative AI solutions, covering the full lifecycle from development through release and monitoring. You will develop AI, deep learning, and RAG architectures, create ETL and data processing pipelines, integrate vector databases, expose services through APIs, and implement CI/CD and MLOps practices. Deployment, logging, and model monitoring in production are core parts of the role, alongside collaboration with multidisciplinary Agile teams.

The position is based in Italy with hybrid working across Milan, Turin, Bologna, Marcon, and Rome. Capgemini seeks experience with hyperscalers such as Azure, AWS, or GCP, data platforms like Databricks or Snowflake, plus Python and PySpark. Strong MLOps, DevOps, and CI/CD skills are required, along with Git versioning, ETL pipelines, RAG architectures, vector databases, and API development such as FastAPI. Preferred extras include Azure DevOps, MLflow.

Highlights

• Build AI, deep learning, and RAG solutions end to end
• Own MLOps, CI/CD, deployment, logging, and monitoring
• Work with hyperscalers, Databricks or Snowflake, Python, and PySpark
• Hybrid role across Milan, Turin, Bologna, Marcon, and Rome