Solution Architect Submission Data and Content Generation & Reuse (AIDCG) - 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. The Position The Position Roche Digital Technology is looking for a Senior Solution Architect to help shape and lead the architecture of next-generation digital and AI-enabled capabilities across Pharma R&D. You will work closely with Submission Data and Content Generation & Reuse, including initiatives such as AIDCG, while contributing more broadly across Regulatory Affairs and related Pharma R&D capabilities. We are looking for an architect who can connect business strategy, modern technology and engineering execution — establishing long-term technical direction while remaining close enough to implementation to ensure solutions are scalable, secure, reliable and production-ready. What you will do Own end-to-end architecture for complex products, platforms and cross-product capabilities from discovery through production. Translate business outcomes and workflows into scalable, secure and maintainable technical architectures. Shape target architectures, technology roadmaps, reusable patterns and reference architectures. Architect Generative AI and agentic AI solutions , including orchestration, retrieval and grounding, tool integration, human-in-the-loop, evaluation, guardrails and observability. Lead cloud architecture decisions across applications, APIs and integrations, data, identity, security, resilience and operational architecture. Define and govern key non-functional requirements including availability, scalability, performance, security, recoverability and cost. Design integration across enterprise platforms, data and content systems while ensuring appropriate traceability, provenance and access control. Lead architecture reviews, evaluate technical trade-offs and guide teams through complex engineering decisions. Evaluate emerging technologies and vendors based on business fit, maturity, security, cost and long-term sustainability. Act as a trusted technical advisor to senior stakeholders while mentoring architects and engineers and strengthening architecture practices across teams. Who you are Required qualifications 10+ years of experience in enterprise software architecture, with at least 2+ years designing and deploying production-grade Generative AI / Agentic systems at scale Strong experience with cloud-native and distributed systems architecture , preferably AWS. Demonstrated experience designing or delivering production Generative AI or agentic AI solutions . Strong understanding of modern AI patterns such as LLM integration, RAG/knowledge grounding, agent orchestration, tool use, state/context management, evaluation and human-in-the-loop. Strong understanding of APIs, integration patterns, application and data architecture, security and modern software engineering. Experience with CI/CD, infrastructure as code, DevSecOps, observability and production operations. Demonstrated ability to make architecture trade-offs across reliability, scalability, security, performance, cost and delivery speed. Ability to translate ambiguous business problems into clear architecture decisions and executable technical direction. Strong technical leadership, stakeholder influence, communication and mentoring skills. Strong sense of ownership and accountability for technical outcomes. Preferred qualifications Experience in pharmaceutical R&D, clinical development, regulatory technologies or other regulated environments. Hands-on familiarity with GxP compliance, software validation, 21 CFR Part 11, and audit-trail implementations in pharmaceutical or healthcare software." Experience with enterprise knowledge/retrieval architectures or MLOps/LLMOps. Familiarity with Responsible AI, AI governance, validation, provenance and auditability. Technology environment Our landscape includes AWS, cloud-native services, Python, enterprise APIs, modern LLMs, agentic orchestration, retrieval and knowledge technologies, AI evaluation and observability, and modern DevSecOps. We value architectural depth and adaptability over expertise in any single tool or vendor . Shift: CET time zone #Hyderabad2026 Who we are 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. Let’s build a healthier future, together. Roche is an Equal Opportunity Employer.