This role develops and operates the technical foundations of an internal generative AI solution, including data architectures and pipelines for an engineering organization.

Your tasks

Design scalable data architectures and data pipelines for an internal generative AI solution
Build vector databases (RAG) and graph databases
Ensure secure and reliable operation of the AI solution
Evaluate suitable AI models and new technologies
Define technical standards for platforms, APIs and models
Ensure quality of data integrations through testing
Collaborate closely with IT and other departments, considering data protection and IT security

What you bring

Completed degree in computer science, data engineering, business informatics or comparable field
Experience building modern data and AI solutions
Sound knowledge of cloud architectures (e.g. Azure)
Experience with data pipelines, MLOps and database integrations
Experience with vector databases and RAG systems
Familiarity with Git, CI/CD and Docker
Fluent English required; basic German is helpful

Conditions

Workload: 60–100 %
Option of a permanent position after the assignment if both sides want it

What to expect

Workload 60-100%
3–6 months interim, then a permanent position
Flexible working conditions

Technologies

Azure
Git
CI/CD
Docker

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.

AI & Data Engineer