1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- 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, maintainable technical architectures, roadmaps, reusable patterns, and reference architectures.
- Architect generative AI and agentic AI solutions, including orchestration, retrieval and grounding, tool integration, human-in-the-loop processes, evaluation, guardrails, and observability.
- Lead cloud architecture across applications, APIs and integrations, data, identity, security, resilience, and operational concerns.
- Define and govern non-functional requirements for availability, scalability, performance, security, recoverability, and cost.
- Design enterprise integration across platforms, data, and content systems with traceability, provenance, and access control.
- Lead architecture reviews, evaluate technical trade-offs and vendors, and guide teams through complex engineering decisions.
- Advise senior stakeholders, mentor architects and engineers, and strengthen architecture practices across teams.
Requirements
- 10+ years of experience in enterprise software architecture, including at least 2+ years designing and deploying production-grade generative AI or agentic systems at scale.
- Strong experience with cloud-native and distributed systems architecture, preferably AWS.
- Experience designing or delivering production generative AI or agentic AI solutions.
- Strong understanding of LLM integration, RAG and knowledge grounding, agent orchestration, tool use, state and context management, evaluation, and human-in-the-loop workflows.
- 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.
- Ability to make architecture trade-offs across reliability, scalability, security, performance, cost, and delivery speed.
- Ability to translate ambiguous business problems into architecture decisions and executable technical direction.
- Strong technical leadership, stakeholder influence, communication, mentoring, ownership, and accountability skills.
- Preferred experience in pharmaceutical R&D, clinical development, regulatory technologies, or other regulated environments.
- Preferred familiarity with GxP compliance, software validation, 21 CFR Part 11, audit trails, enterprise knowledge and retrieval architectures, MLOps or LLMOps, Responsible AI, AI governance, validation, provenance, and auditability.
Benefits
- CET time zone work schedule.
- Equal opportunity employment at Roche.
Categories
AI ApplicationsSolutions Engineering
About Roche
Roche is a Swiss healthcare company that develops and sells prescription pharmaceuticals and in vitro diagnostic systems for hospitals, laboratories, and clinicians. Its business spans two core divisions—Pharmaceuticals and Diagnostics—with strengths in oncology, immunology, neuroscience, infectious diseases, and diabetes care. Founded in 1896 and headquartered in Basel, Switzerland, Roche also advances personalized healthcare by pairing therapies with companion diagnostics.