Solution Architect - Pharma R&D

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.

• Design end-to-end solution architectures for products, use cases and technical capabilities, working with senior architects on broader cross-product decisions.
• Translate business and technical requirements into practical architectures across applications, APIs, integration, cloud, data, security and operational considerations.
• Design and contribute to Generative AI and agentic solutions, including LLM applications, retrieval and grounding, agentic workflows, tool integration and human-in-the-loop patterns.
• Apply strong cloud engineering principles across services, APIs, data stores, identity and access management, resilience and observability.
• Define key non-functional requirements, interfaces, data flows and architecture decisions.
• Contribute to evaluation, monitoring, guardrails, traceability and security for AI-enabled applications.
• Participate actively in architecture reviews, prototypes, technical spikes and implementation discussions.
• Help establish reusable architecture patterns and components across teams.
• Collaborate closely with engineers, data scientists, product teams and domain experts from solution discovery through deployment and production.
• Identify technical risks early, communicate clearly and take ownership for helping teams resolve them.

• 6+ years of experience in enterprise software architecture, with at least 1+ years designing and deploying production-grade Generative AI / Agentic systems at scale
• Good practical understanding of cloud-native architecture, preferably AWS.
• Practical experience building or integrating Generative AI / LLM-enabled applications.
• Understanding of modern AI patterns such as RAG, vector/semantic search, agentic workflows, tool/function calling, prompt/context management and AI evaluation.
• Strong understanding of APIs, integration patterns, distributed applications, data stores and security.
• Familiarity with containers, CI/CD, infrastructure as code, monitoring and observability.
• Ability to consider reliability, scalability, performance, security and cost when making technical decisions.
• Strong analytical, problem-solving, communication and collaboration skills.
• Strong ownership and accountability for technical outcomes.
• Demonstrated curiosity and ability to stay current with developments in Generative AI, agentic systems, cloud and modern software engineering.

A healthier future drives us to innovate. Together, more than 100’000 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.