Working Student (fmd) AI-Enabled Knowledge and Work Systems

Join us as a working student at the interface of agentic AI knowledge systems system architecture and collaborative operating models. Our team manages complex subsidy programs that combine regulatory requirements business processes technical documentation structured data and collaboration across many stakeholders.

We are developing a collaborative AI-in-the-loop operating environment for this domain. The concept takes the established LLM Wiki pattern and develops it for collaborative use at corporate production scale. It combines a human-governed AI-curated knowledge space with controlled workbench subspaces in which users and AI agents jointly develop knowledge content processes and solutions. Different AI systems will be used according to their strengths with agentic AI at the center of the operating model.

You will help refine the idea architecture and operating model and turn them into a robust maintainable and scalable system. You will work directly with domain experts and pioneer users support the initial implementation and help scale the environment to the full team. As AI technology evolves you will also evaluate new models agent capabilities and knowledge-space technologies and help evolve the architecture when better options become available.

Key Responsibilities

• 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• Test system behavior source traceability permissions context boundaries conflicting information outdated content and other relevant failure modes.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 Bachelors or Masters 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...