AgentixLake GmbH

Working Student AI Solutions Architect – Generative AI & Data Platforms

Berlin, Germany remote Mid Salary not listed
remote Mid level Technology & IT Curated
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About the role

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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.
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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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT API integration Human Resources MySQL Python SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Working Student AI Solutions Architect – Generative AI & Data Platforms role.
  2. How would you approach your first 30 days at AgentixLake GmbH?
  3. Which of API integration, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Working Student AI Solutions Architect – Generative AI & Data Platforms role because I can bring practical experience in API integration, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes AgentixLake GmbH needs from this hire.

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