Working Student, AI Solutions Architect – Generative AI, Data Platforms

datavent.io

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

Posted 10/31/2026part-timeRemote • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing data flows and architectures, with strong skills in Python and SQL. Capable of translating business requirements into technical solutions while effectively communicating design choices and risks.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyCloud Services EvaluationAPI IntegrationData Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData Systems DesignTechnical Decision MakingSystem ImplementationData Flow ArchitectureModel InferenceInfrastructure PrototypingRisk ManagementCommunication of Technical DecisionsLarge Language Models Understanding

Soft Skills

CollaborationProblem-SolvingClear CommunicationAdaptabilityCritical Thinking

Tools & Technologies

Amazon BedrockAnthropic ClaudeTerraformLakehouse ArchitectureAPIs

Industry Keywords

Data IngestionData StorageData RetrievalEnterprise SystemsRAG Workflows

Tech Stack

Tools & technologies

CloudPythonSQLTerraform

About the role

Key responsibilities & impact

Translate business workflows, existing systems, and data constraints into solution designs with assumptions and acceptance criteria
Design data flows connecting ingestion, storage, retrieval, model inference, APIs, and downstream enterprise systems
Evaluate cloud services, open-source components, and on-premises deployment trade-offs across security, reliability, cost, and maintainability
Create architecture diagrams, technical decision records, and delivery estimates
Contribute to discovery workshops and design reviews
Validate assumptions with Python, SQL, API integrations, or infrastructure prototypes
Work with engineers on implementation
Specify access controls, evaluation, observability, and human approval steps for enterprise RAG and agentic workflows
Work directly with founders and engineers on customer-facing architecture and implementation

Requirements

What you’ll need

Current university enrollment in a relevant technical discipline
Substantial hands-on experience building software or data systems
Evidence of delivering systems used by others
Ability to explain design choices, implementation, and operational lessons
Strong Python and SQL skills
Practical cloud experience
Understanding of APIs, data modeling, and deployment
Applied understanding of large language models, retrieval-augmented generation, and required data foundations
Ability 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
Must provide CV, current study details, location, weekly availability, and a short system design/build example

Benefits

Comp & perks

20 days of annual leave
Part-time scope and schedule planned around studies
Substantive design and code review
Customer-facing architecture and implementation experience
3-month probation period