Senior/Principal Agentic AI Engineer (Clinical Data Systems)

About Roche

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

Position

Senior/Principal Agentic AI Engineer (Clinical Data Systems)

This role resides in the Data Management team, a key function within Product Development Data Sciences (PDD). At Roche, we lead the industry in speed and efficiency across all data management responsibilities. Through innovative tools, automation, and cutting‑edge technologies, we streamline clinical trial data collection and delivery.

As trusted partners in drug development, our team leverages deep expertise across therapeutic area data modalities to strategically guide clinical trial data processes. We balance high‑quality data outputs with fit‑for‑purpose data collection methods, enabling faster trials, timely decision‑making, and accelerated delivery of life‑changing medicines to patients.

The Opportunity

If you‑re passionate about shaping the future of clinical trials, this is the moment to join. As a Senior/Principal Agentic AI Engineer within the Global Clinical Data Management organization, you will lead transformative initiatives that revolutionize clinical trial data processing. You will bridge cutting‑edge AI technologies with pharmaceutical standards, creating systems that automate clinical data cleaning, validation, and analysis while ensuring regulatory compliance. Your contributions will impact patients globally by accelerating vital therapies.

Key Responsibilities

• Agentic Architecture: Design agentic workflows using frameworks like LangGraph, CrewAI, or AutoGen to automate complex clinical data management tasks.
• Multi‑Agent Systems: Develop production‑grade multi‑agent systems where specialized agents (e.g., \