Junior AI & Engineer

A leading pharmaceutical company is looking for a Junior AI & Knowledge Engineer based in Zurich, Switzerland

Duration: 2-4 months

Language:
English/ German an advantage

We are looking for a highly motivated Master student to support strategic AI and Knowledge

Management initiatives within a global biopharmaceutical environment. The role will work closely with

the MSAT Knowledge Management Lead and contribute to the design and deployment of the AI Academy,

Data Academy, Process Wiki / Knowledge Navigator, and related AI-enabled knowledge solutions.

The assignment is ideal for a student who enjoys building at the intersection of AI tools, knowledge

management, knowledge graph design, information architecture, and user-centric digital product design.

• Support the design of learning pathways, training curricula, capability frameworks and bootcamp concepts.
• Develop practical learning & workshop materials, exercise templates and reusable academy content.
• Research emerging AI tools and translate relevant use cases into MSAT-oriented training examples.
• Create AI use case catalogues, prompt examples and practical demonstrations for knowledge work, data work and process intelligence.
• Support launch communication, stakeholder updates and executive-ready summaries.

• Support the design of a modern digital knowledge infrastructure for process knowledge, process data
• and modelling-related content.
• Create intuitive navigation structures & page concepts
• Develop page mock-ups, wireframes and proof-of-concept knowledge portal designs.
• Improve discoverability through taxonomy, metadata and search-oriented content structuring.
• Contribute to the integration concept for multiple knowledge sources into a unified knowledge navigator
• experience.

• Apply AI productivity tools such as Microsoft Copilot, Cowork or comparable AI assistant platforms to accelerate content creation, knowledge structuring and prototyping.
• Support conceptual knowledge graph design by defining entities, relationships and metadata patterns
• Evaluate approaches for semantic search, retrieval-augmented generation and AI-assisted knowledge
• retrieval.
• Contribute to concepts for Copilot / Cowork-based assistants, process wiki agents and AI-enabled
• knowledge workflows.
• Document design decisions, assumptions and recommendations in a structured and reusable way.

• Design clean, user-friendly web pages and knowledge portal layouts.
• Apply principles of information architecture, UX/UI design and visual storytelling.
• Create clickable prototypes or lightweight demonstrators where appropriate.
• Support SharePoint Online page design and modern web content structuring.
• Translate complex knowledge and data concepts into accessible, visually clear user experiences.

Education. Currently enrolled in a Master programme at ETH Zürich preferably in the field of Computer Science, Data Science, Information Systems, Computational Science, Knowledge Engineering, Digital Design or a related field.

Technical experience. Practical experience in several of the following areas is recommended:

• Generative AI and large language model usage in real work scenarios.
• Microsoft Copilot, Cowork or comparable AI assistant / agent platforms.
• Knowledge graphs, semantic models, taxonomies or metadata modelling.
• RAG architectures, semantic search or AI-enabled knowledge retrieval.
• SharePoint Online, Microsoft 365 or enterprise collaboration platforms.
• UX/UI design, wire framing and user journey development.
• Python, data visualisation or graph database concepts are a plus.

• Curious about the future of AI, knowledge management and digital transformation.
• Able to structure ambiguous topics and translate them into executable work packages.
• Comfortable working independently while aligning frequently with stakeholders.
• Strong visual communication and storytelling skills.
• Interest in biopharmaceutical manufacturing, process intelligence and enterprise knowledge systems.
• High attention to detail, with the ability to make complex knowledge accessible and easy to reuse.

• content structure, learning pathways, workshop
• concepts and reusable training assets.

• Process Wiki / Knowledge Navigator MVP concept,
• navigation model, page design prototypes and
• AI & knowledge engineering
• Knowledge graph concept, taxonomy and
• search options and AI-agent integration ideas.

• Executive-ready summaries, visual storylines,
• stakeholder updates and working materials for

• Hands-on experience in enterprise AI transformation and AI-enabled knowledge management.
• Exposure to strategic academy development, capability building and community enablement.
• Opportunity to work on a…