Working Student AI Solutions Architect
at Lolanext
Berlin, Germany, part time
posted 30 Oct 2026
- Anthropic Claude
- Terraform
- Large language models
- Data modeling
- Retrieval-augmented generation
- API
- Lakehouse architecture
- Amazon Bedrock
- Python
- SQL
About the role
Dataventio · Berlin, Germany · posted 2026-10-30 · English-friendly ✓
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*\About AgentixLake\*
AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities.
*\Your role\*
Design the path from a business requirement to a working data and AI system. You will work directly with our founders and engineers to turn discovery findings into architecture decisions, implementation plans and tested components.
Our architecture and advisory work connects enterprise data platforms with generative AI, AI agents and business applications. Depending on the engagement, solutions run on AWS, Snowflake, Databricks, Google Cloud or customer-managed infrastructure.
*\What you will do\*
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.
Read from lolanext.com, last seen 5d ago.