Solution Architect Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D

Roche; Hyderabad; On-site; INR 4,000,000 - 5,500,000; Full time

Job summary

Roche Digital Technology seeks a Senior Solution Architect to shape and lead architecture for next-generation digital and AI-enabled capabilities across Pharma R&D. You will connect business strategy with technology, establishing long-term direction while ensuring scalable, secure, and production-ready solutions.

You will own end-to-end architecture for complex products, drive target architectures and guide teams through critical engineering decisions, collaborating with cross-functional

Qualifications

• 10+ years of enterprise software architecture experience.
• 2+ years designing production Generative AI/Agentic systems at scale.
• Cloud-native and distributed systems experience (AWS preferred).
• Experience with AI patterns: LLM integration, RAG grounding, orchestration.
• APIs, integration patterns, security and modern software engineering.

Responsibilities

• Own end-to-end architecture for complex products and platforms.
• Translate business outcomes into scalable, secure architectures.
• Shape roadmaps, patterns and reference architectures.
• Architect Generative AI/agentic solutions with orchestration and tools.

Skills

Enterprise architecture

Cloud-native

AI patterns

Leadership

CI/CD

Security

Stakeholder influence

Mentoring

Job description

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

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.\