# Team Lead Engineering AI at Roche

Roche is hiring a Team Lead Engineering AI in Hyderabad, India. Level rates it Builds AI ●●●●; you can [apply on Roche](https://jobsbylevel.com/go/be9092f1-1534-4670-91b9-0f929f036dc2?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Hyderabad.

## Details

- Company: [Roche](https://jobsbylevel.com/companies/roche)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Hyderabad
- Posted: October 29, 2026
- Apply: https://jobsbylevel.com/go/be9092f1-1534-4670-91b9-0f929f036dc2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=team-lead-engineering-ai-at-roche-32f3ed

## Prepare for this job

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## 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 The AI Engineering Manager will build and lead a high-performing AI Engineering team responsible for translating high-value scientific and business opportunities into trusted, scalable and reusable AI solutions across Biometrics and Clinical Evidence (BCE). Working in close partnership with AI Scientists, data and product teams, the role will bridge deep drug development domain expertise with modern AI engineering — taking solutions from experimentation and proof of concept through industrialisation, deployment and sustained use. The team will establish engineering practices and reusable capabilities that enable AI and agentic solutions to be developed faster, safely and at scale, while meeting Roche expectations for security, privacy, quality, governance and regulatory compliance. It is expected that this AI Engineer Lead will be responsible for the AI Full Stack (from front-end/UX to back-end services, data & context provisioning through to AI engine & Agentic workflows). Bridging the gap between AI capabilities and full-stack software development, leveraging agentic coding workflows to build scalable, resilient, and intelligent Ai solutions. You will be responsible for the complete lifecycle—from designing front-end user experiences and resilient back-end APIs to building robust data infrastructure that grounds AI systems in accurate context. As an AI Engineering lead, you will make key decisions regarding tech stack selection, Semantic / Knowledge Graph & Context Layers and performance optimization as Ai solutions evolve from prototype to enterprise-scale production. Description of the area The Biometrics and Clinical Evidence team is central to drug development, driving efficiency, safety, and innovation. Our core function is to enable Pharma Development and Research in enhancing clinical trial design and optimizing success by ensuring robust protocols and minimizing risks through simulations, acquiring and managing high quality data—including clinical trial, real-world, imaging, and patient-centric data—to generate evidence, provide actionable insights, and support regulatory filings. Key capabilities include: AI & Agentic Engineering Software & Platform Engineering Data Engineering & Architecture Semantic, Knowledge & Context Design Responsible AI / regulated engineering Product & business translation Engineering leadership Job responsibilities Build and lead the AI Engineering capability Build, develop and lead a high-performing team of AI Engineers, establishing a strong engineering culture focused on technical excellence, experimentation, reuse, collaboration and measurable impact. Define the capabilities, roles, development pathways and engineering practices required for AI Engineering across BCE and the broader R&D RDT Org.. Translate scientific opportunities into scalable AI solutions Partner closely with AI Scientists, Product Managers, data teams and PD stakeholders to translate high-value business and scientific problems into technically robust AI solutions. Provide technical leadership from early exploration and proof of concept through architecture, development, deployment, adoption and lifecycle management. Ensure rapid experimentation can transition effectively into production-grade solutions where value is demonstrated. Establish reusable AI and agentic engineering capabilities Define and implement reusable patterns, components and reference architectures for generative AI, retrieval-augmented generation, agentic workflows, knowledge

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/team-lead-engineering-ai-at-roche-32f3ed

Source: https://jobsbylevel.com/jobs/team-lead-engineering-ai-at-roche-32f3ed

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Level. https://jobsbylevel.com/jobs/team-lead-engineering-ai-at-roche-32f3ed.

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