Final-Year Internship – R&D Data & AI Engineer

About the role

keyIT supports Swiss companies in their digital transformation through Cloud, cybersecurity, Data Engineering and artificial intelligence. As part of its expansion of Data & AI activities and R&D initiatives, it is looking for a final-year intern to help design and build a production-ready, intelligent, automated and reusable Data & AI platform. The internship lasts 5-6 months, starts from February 2027 and is based in Marly (Fribourg) or Vernier (Geneva).

Key responsibilities

• Research sovereign Data platforms and Swiss hosting and Cloud providers, compare public/private/hybrid Cloud and open-source solutions, and propose reference architectures for Swiss businesses.
• Automate infrastructure with Terraform or OpenTofu, implement IaC, DevSecOps and CI/CD pipelines, and integrate identity management, secrets management, private connectivity and observability.
• Design data pipelines, experiment with Data Warehouse, Lakehouse and DataHub architectures, and integrate data quality, lineage, cataloging and governance.
• Explore semantic layers, knowledge graphs, LLMs, RAG and AI agents, and evaluate the security and explainability of AI-generated responses.
• Build a deployment framework, IaC modules and templates, test reproducibility and portability, and document findings.

Required profile

• Final year of an engineering degree or Master's in Computer Science, Software Engineering, Data Engineering, Cloud Computing or Artificial Intelligence.
• Solid foundation in software development, Python, SQL and Git, and interest in modern technology architectures.
• Curiosity, analytical thinking, attention to detail, independence and willingness to learn; no need to be an expert in every technology.

Required skills

• Cloud and infrastructure: Microsoft Azure, Kubernetes, Docker, Terraform, OpenTofu
• Data engineering: Azure Databricks, Microsoft Fabric, Python, SQL, PySpark, dbt, Lakehouse
• DevOps: Git, Azure DevOps, CI/CD, IaC, observability
• Data governance: data catalogs, lineage, access control, semantic models
• AI: LLMs, RAG, AI agents, LangGraph, APIs

The internship is supervised by the Data & Cloud / Architecture & R&D team. To apply, send your CV and a short motivation statement to the company's HR team.