Senior Technical Specialist (Agentic AI)

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.

At Roche we advance science so that we all have more time with the people we love. Positioned within our Data Management team a core function of Product Development Data Sciences (PDD) you will help us lead the industry in speed quality and efficiency. By joining us you step into an innovative environment where we build cutting-edge tools automation and next-generation technologies that streamline clinical trial data collection and delivery accelerating the release of life-saving medicines to patients worldwide.

As a Senior Technical Specialist with a focus on Agentic AI you will design and deploy autonomous AI agents and multi-agent systems to transform how clinical trial data is processed. You will bridge the gap between state-of-the-art LLM orchestration and strict pharmaceutical regulatory standards building systems that automate clinical data cleaning validation and analysis. This is your chance to shape a modern scalable ecosystem where your engineering solutions directly drive GxP-compliant high-impact clinical decisions.

The Opportunity:

• Design and deploy sophisticated agentic workflows using frameworks such as LangGraph CrewAI or AutoGen to automate complex clinical data management tasks.

• Build collaboration systems where specialised agents (e.g. Planner Validator and Protocol Reviewer) resolve end-to-end data challenges through high-quality testable code and CI/CD pipelines.

• Apply systematic prompt engineering techniques (including Chain-of-Thought ReAct and Reflection) to guarantee high-fidelity outputs in a clinical context.

• Deploy AI agents into our cloud environment (AWS) while building and enhancing scalable applications that capture move and prepare scientific data.

• Partner with Data Integrity and Quality teams to ensure all agentic decisions are traceable reproducible and fully compliant with regulatory standards.

• Create reliable Human-in-the-loop (HITL) workflows and tool-calling agents to solve complex highly regulated data challenges.

Who You Are:

You are a strategic forward-thinking engineer who thrives at the intersection of full-stack engineering advanced AI orchestration and real-world scientific impact. You enjoy solving intricate technical challenges value model reproducibility and bring clear collaborative communication to a global team.

To be successful in this role you bring:

• 5 years experience and a Bachelors or advanced degree in Computer Science Machine Learning Engineering or Biomedical Informatics alongside 8 years of experience delivering AI/ML solutions plus 3 years in full-stack software and data engineering.

• Deep proficiency in Python and hands-on experience with AI orchestration frameworks like LangGraph CrewAI AutoGen or LlamaIndex.

• Solid experience with modern data engineering (SQL/NoSQL APIs) Vector Databases (e.g. Chroma Pinecone) and optimizing RAG pipelines.

• Strong experience deploying AI systems on AWS containerization (Docker Kubernetes) CI/CD pipelines Git and service observability (logging tracing metrics).

• A strong understanding of model reproducibility interpretability and validation best practices within highly regulated environments.

• Excellent problem-solving capabilities with the ability to explain complex technical concepts clearly to diverse global stakeholders.

Preferred:

• Masters or PhD in Computer Science AI or a related quantitative field.

• Experience in a highly regulated industry such as Healthcare FinTech or Aerospace.

• Understanding / Showcasing practical end-to-end implementation of security frameworks in complex agentic workflows.

• Understanding of clinical trial life cycles and data standards.

• Familiarity with monitoring tools for system performance workflow analytics and MLOps/DevOps best practices.

• Contributions to open-source agentic frameworks or internal AI tooling in the automation or productivity space.

• Experience to architect scalable solutions in complex environments with multiple existing system integrations.

• Experience with other programming languages (e.g. C# Java JavaScript R RShiny) is considered an advantage.

• Sharing your GitHub account showcasing relevant work is considered an advantage.

Relocation Benefits are not available for this job posting.

We use artificial intelligence to screen assess or select applicants for this role.

This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

A healthier future drives us to innovate. Together more than 100000 employees across the globe are dedicated to advance science ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities foster creativity and keep our ambitions high so we can deliver life-changing healthcare solutions that make a global impact.

Lets build a healthier future together.