{"id":1148107,"url":"https://alion.io/job/nxp-semiconductors-working-student-fmd-ai-enabled-knowledge-and-work-systems","title":"Working Student (f/m/d) AI-Enabled Knowledge and Work Systems","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":137,"ghost_share":0,"stale_share":0.81,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"part_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Hamburg, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":56000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-23T16:21:07Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-21T02:38:43Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nWe 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.\nYou 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.\nKey Responsibilities\nRefine the concept, target architecture, and operating model for a collaborative AI-in-the-loop environment.\nDesign the interaction between the AI-curated knowledge space, human-AI workbench subspaces, agents, data sources, tools, and users.\nBuild, configure, administer, and improve the knowledge and workbench environments, including structures, metadata, permissions, templates, and workflows.\nDevelop and test dedicated, role-based, and cross-space AI agents, including their instructions, context, tool access, responsibilities, and human approval points.\nEnable the controlled transition of content from collaborative workbenches into validated and authoritative knowledge.\nDesign safeguards that reduce unintentional misuse and ensure clear boundaries between working content, AI-generated content, reviewed content, and authoritative knowledge.\nTest system behavior, source traceability, permissions, context boundaries, conflicting information, outdated content, and other relevant failure modes.\nSupport pioneer users, gather structured feedback, and convert findings into improvements to the architecture, system, and operating model.\nDevelop reusable administration, onboarding, support, and governance approaches to scale the environment to the full team.\nMonitor developments in AI models, agentic systems, context engineering, and knowledge-space technologies.\nEvaluate relevant technologies through structured comparisons and prototypes, and recommend controlled architecture changes where these provide measurable benefits.\nMaintain architecture decisions, system documentation, implementation records, test cases, and a structured development backlog.\nJob Qualification:\nStudent in a Bachelor’s or Master’s degree program in information technology, computer science, data science, information systems, business informatics, or a comparable field.\nStudents 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.\nStrong interest in generative AI, agentic systems, knowledge architectures, context engineering, and human-AI collaboration.\nBasic programming or scripting experience and the ability to apply technical concepts in practical prototypes.\nAnalytical and structured problem-solving skills, including the ability to develop incomplete ideas into clear system concepts.\nAbility to compare technologies critically and distinguish durable architectural improvements from short-lived trends.\nStrong attention to system boundaries, permissions, data quality, versioning, traceability, maintainability, and safe system use.\nWillingness to experiment while following controlled, documented, and reproducible development practices.\nAbility to work independently and collaborate closely with domain experts, technical stakeholders, and users.\nFluent business English. \nExperience 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. \nWhat NXP Offers:\nAn attractive hourly wage of €19.40\n30 vacation days per year\nFlexible working hours\nAccess to an on-site canteen\nNetworking 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\nPlease 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.\nMore information about NXP in Germany...\n#LI-4da9","description_format":"text","description_chars":5075,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-23T16:21:07Z"}],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":38,"reasons":["conf:5","agency","win:early","comp:junior,brand"],"computed_at":"2026-09-23T21:33:38Z"},"pay":null,"html_url":"https://alion.io/job/nxp-semiconductors-working-student-fmd-ai-enabled-knowledge-and-work-systems","json_url":"https://alion.io/job/nxp-semiconductors-working-student-fmd-ai-enabled-knowledge-and-work-systems.json","meta":{"generated_at":"2026-09-23T21:33:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}