Beschreibung

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

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

Profile

• 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

Offer

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

Company

Engineering consultancy