Working Student AI Solutions Architect – Generative AI & Data Platforms

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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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重要申请须知：请仅通过此求职门户申请。请勿通过电子邮件或LinkedIn发送申请或招聘信息。只有通过门户提交的申请才会被考虑。谢谢。

关于AgentixLake
AgentixLake GmbH 是一家总部位于德国汉堡的数据与人工智能工程咨询公司。我们在客户的云账户或本地环境中设计、构建和运营生产级数据平台和AI系统。我们是AWS服务合作伙伴，也是Anthropic Claude合作伙伴网络认证服务合作伙伴。我们的商业重点集中在DACH地区和海湾地区，同时也会选择性地参与国际项目。

您的角色
设计从业务需求到可运行的数据和AI系统的路径。您将直接与我们的创始人和工程师合作，将调研结果转化为架构决策、实施计划和经过测试的组件。

我们的架构和咨询工作将企业数据平台与生成式AI、AI代理和业务应用程序连接起来。根据项目需求，解决方案可在AWS、Snowflake、Databricks、Google Cloud或客户管理的基础设施上运行。

您将负责
将业务工作流、现有系统和数据约束转化为明确的解决方案设计，包括明确的假设和验收标准。
设计连接数据摄取、存储、检索、模型推理、API和下游企业系统的数据流。
评估云服务、开源组件和本地部署之间的权衡，包括安全性、可靠性、成本和可维护性。
创建架构图、技术决策记录和交付估算；参与调研研讨会和设计评审。
使用Python、SQL、API集成或基础设施原型验证重要假设，然后与工程师合作实施。
为企业RAG（检索增强生成）和代理工作流程指定访问控制、评估、可观察性和人工审批步骤。

您应具备的条件
目前相关技术专业在读，同时拥有构建软件或数据系统的丰富实践经验。
能够证明您已交付过他人使用的系统，并能解释自己的设计选择、实施经验和运营教训。
熟练掌握Python和SQL，具备实际的云经验，了解API、数据建模和部署。
对大型语言模型、检索增强生成以及这些系统所需的数据基础有实际理解。
具备明确工作流程的所有权、早期识别风险并用英语清晰沟通技术决策的能力。
拥有Amazon Bedrock、Anthropic Claude、Terraform、湖仓架构或与业务利益相关者进行技术发现的经验将是有价值的。在一个相关环境中的深度知识比熟悉每个平台更重要。

您可以期待
您将参与面向客户的架构设计和实施，与创始人密切合作，并获得实质性的设计和代码审查。您的兼职范围和时间表将根据您的学习计划进行安排。

如何申请
使用本页面的"申请"按钮提交您的简历、当前学习详情、位置和每周可用时间。请包含一个您帮助设计和构建的系统的简短示例：问题描述、您的贡献以及您做出的权衡。欢迎使用匿名说明；请不要分享机密客户材料。
我们欢迎来自各种背景的申请者。如果核心职责与您的经验相符，我们希望收到您的申请。

保持联系
在LinkedIn上关注AgentixLake，获取实用的工程见解、项目更新和未来机会。关注是可选的，不会影响招聘决策。
LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/
网站: https://agentixlake.com/
探索我们与Claude合作的生产级AI工作: https://agentixlake.com/production-ai-with-claude
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