Working Student AI Solutions Architect – Generative AI & Data Platforms
Overview
AgentixLake GmbH offers a working student position for an AI Solutions Architect focusing on generative AI and data platforms. The employer is a data and AI engineering consultancy based in Hamburg, Germany, with a commercial focus on the DACH and Gulf regions, alongside international opportunities. The role involves designing the path from business requirements to working data and AI systems, working directly with founders and engineers to turn discovery findings into architecture decisions, implementation plans, and tested components. Solutions run on AWS, Snowflake, Databricks, Google Cloud, or customer-managed infrastructure depending on the engagement.
Who can apply
Applicants must be currently enrolled in a university within a relevant technical discipline and possess substantial hands-on experience building software or data systems. Candidates need to provide evidence of delivering systems used by others and demonstrating an ability to explain their design choices, implementation, and operational lessons. The role requires strong Python and SQL skills, practical cloud experience, an understanding of APIs, data modeling, and deployment, and an applied understanding of large language models, retrieval-augmented generation, and underlying data foundations. Experience with Amazon Bedrock, Anthropic Claude, Terraform, Lakehouse architecture, or technical discovery is valued. Applicants must be able to communicate technical decisions clearly in English.
What you get
The position provides an opportunity to contribute to customer-facing architecture and implementation while working closely with company founders. Selected candidates receive substantive design and code reviews, and the part-time scope and schedule are planned around the student's studies.
How to apply
Applications must be submitted exclusively through the job portal. Candidates should submit a CV, current study details, location, and weekly availability using the apply function on the platform. Applicants must also include a short example of a system they helped design and build, detailing the problem, their contribution, and a trade-off made, using anonymized explanations to avoid sharing confidential client material.