Working Student (f/m/d) AI-Enabled Knowledge and Work Systems

What You'll Do

• Refine the concept, target architecture, and operating model for a collaborative AI-in-the-loop environment.
• Design the interaction between the AI-curated knowledge space, human-AI workbench subspaces, agents, data sources, tools, and users.
• Build, configure, administer, and improve the knowledge and workbench environments, including structures, metadata, permissions, templates, and workflows.
• Develop and test dedicated, role-based, and cross-space AI agents, including their instructions, context, tool access, responsibilities, and human approval points.
• Enable the controlled transition of content from collaborative workbenches into validated and authoritative knowledge.
• Design safeguards that reduce unintentional misuse and ensure clear boundaries between working content, AI-generated content, reviewed content, and authoritative knowledge.
• Test system behavior, source traceability, permissions, context boundaries, conflicting information, outdated content, and other relevant failure modes.
• Support pioneer users, gather structured feedback, and convert findings into improvements to the architecture, system, and operating model.
• Develop reusable administration, onboarding, support, and governance approaches to scale the environment to the full team.
• Monitor developments in AI models, agentic systems, context engineering, and knowledge-space technologies.
• Evaluate relevant technologies through structured comparisons and prototypes, and recommend controlled architecture changes where these provide measurable benefits.
• Maintain architecture decisions, system documentation, implementation records, test cases, and a structured development backlog.
• Job Qualification: Student in a Bachelor’s or Master’s degree program in information technology, computer science, data science, information systems, business informatics, or a comparable field.
• Students from other fields are equally welcome if they demonstrate relevant practical skills, strong personal interest, and continuous self-directed development in AI and digital technologies.
• Strong interest in generative AI, agentic systems, knowledge architectures, context engineering, and human-AI collaboration.
• Basic programming or scripting experience and the ability to apply technical concepts in practical prototypes.
• Analytical and structured problem-solving skills, including the ability to develop incomplete ideas into clear system concepts.
• Ability to compare technologies critically and distinguish durable architectural improvements from short-lived trends.
• Strong attention to system boundaries, permissions, data quality, versioning, traceability, maintainability, and safe system use.
• Willingness to experiment while following controlled, documented, and reproducible development practices.
• Ability to work independently and collaborate closely with domain experts, technical stakeholders, and users.
• Fluent business English.
• Experience with one or more of the following is beneficial: Microsoft 365, Copilot/Claude, SharePoint, Microsoft Graph, Confluence, Jira, APIs, workflow automation, Python, SQL, Power BI, Power Query, Databricks, Git, ontologies, semantic models, or knowledge graphs.
• What NXP Offers: An attractive hourly wage of €19.40 30 vacation days per year Flexible working hours Access to an on-site canteen Networking initiatives and Employee Resource Groups such as Young Community, No Extra Planet, NXP Equal, Women in NXP, and more — fostering both professional and personal exchange Please note: The successful candidate may/will be responsible for security related tasks.
• The assignment may/will be in scope of security certifications, therefore a conscious and reliable way of working is necessary.
• More information about NXP in Germany... #LI-4da9