Working Student AI Solutions Architect – Generative AI & Data Platforms

Translate business workflows, existing systems and data constraints into clear solution designs, with explicit assumptions and acceptance criteria.

Design data flows connecting ingestion, storage, retrieval, model inference, APIs and downstream enterprise systems.

Evaluate trade-offs across cloud services, open-source components and on-premises deployment, including security, reliability, cost and maintainability.

Create architecture diagrams, technical decision records and delivery estimates; contribute to discovery workshops and design reviews.

Validate important assumptions with Python, SQL, API integrations or infrastructure prototypes, then work with engineers on implementation.

Specify access controls, evaluation, observability and human approval steps for enterprise RAG and agentic workflows.

What you bring

Current university enrollment in a relevant technical discipline, combined with substantial hands-on experience building software or data systems.

Evidence that you have delivered systems used by others and can explain your own design choices, implementation and operational lessons.

Strong Python and SQL skills, practical cloud experience and an understanding of APIs, data modeling and deployment.

Applied understanding of large language models, retrieval-augmented generation and the data foundations these systems require.

The judgement to own a defined workstream, surface risks early and communicate technical decisions clearly in English.

Experience with Amazon Bedrock, Anthropic Claude, Terraform, Lakehouse architecture or technical discovery with business stakeholders is valuable. Depth in one relevant environment matters more than familiarity with every platform.

What you can expect

You will contribute to customer-facing architecture and implementation, work closely with the founders and receive substantive design and code review. Your part-time scope and schedule will be planned around your studies.

How to apply

Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Include a short example of a system you helped design and build: the problem, your contribution and a trade-off you made. An anonymised explanation is welcome; please do not share confidential client material.

We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you.

Stay connected

Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions.

LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/

Website: https://agentixlake.com/

Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung