Data & AI Internship

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Zug, Switzerland

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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We are searching for the best talent for Internship — Data & AI:
Enterprise GenAI Support Agent.

We are looking for a high-reaching intern to lead the design and delivery of an enterprise-ready GenAI support agent. The intern will focus on building a support agent that is integrated into end-user facing tools, connects multiple enterprise knowledge sources, and cooperates with existing agentic capabilities. Ownership includes technical delivery and accountability for internal governance processes.

Lead end-to-end design and implementation of a production-capable GenAI support agent for enterprise use, including:

• Requirements gathering and customer alignment with product owners and support teams.
• Architecting and implementing retrieval-augmented generation (RAG) pipelines connecting multiple knowledge sources (e.g., document stores, SharePoint, ticketing systems, internal databases, APIs).
• Implementing or integrating agent orchestration so the new agent can interact with existing agentic capabilities and downstream systems.
• Integrating the agent into target end-user channels (chat widget, Teams, web portal, or other tooling).
• Implementing monitoring, logging, testing, and rollback strategies for model responses and agent actions.
• Ensuring compliance with internal governance, security, and privacy rules (data handling, PII redaction, model usage policies), and being responsible for the internal governance checklist/process for this topic.
• Documentation, runbooks, and handover materials for operations and future development.
• Running evaluations (accuracy, helpfulness, safety), organizing user feedback sessions, and iterating on the agent.

Coordinate with multi-functional teams (security, legal/compliance, platform, UX)

Present regular progress updates to partners and produce a final demo + technical report.

Currently enrolled in a Master’s program in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience)

• Hands‑on experience with Azure OpenAI or other LLM APIs
• Prior experience building conversational agents, chatbots, or support automation.
• Knowledge of enterprise data privacy, PII handling, and AI governance frameworks.
• Familiarity with orchestration frameworks for agents (Lang Chain-like patterns, orchestration servers).
• Experience with containerization and deployment (Docker, Kubernetes/AKS).
• Experience with logging and monitoring stacks for ML systems.

• The intern will be assigned as a technical mentor. Expect regular check‑ins with technical engineers and business partners.
• The intern is expected to lead the topic and drive governance artifacts but will receive guidance and approvals from designated reviewers.
• To improve work…