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 PositionIn this role, you will be a key contributor to the AI Platforms and Services Team, helping to build and evolve Roche's internal AI Agentic Platform - a platform that enables teams to design, build, run, evaluate, and scale AI agents and agentic workflows across the enterprise.
- Build and evolve platform capabilities that enable teams to design, run, monitor, and scale AI agents and agentic workflows.
- Develop reusable APIs, SDKs, connectors, templates, and developer tools for internal platform users.
- Contribute to platform architecture across orchestration, context, data access, governance, observability, and developer experience.
- Design AI-powered workflows using agent frameworks and orchestration tools such as AWS AgentCore, LangChain, LangGraph, n8n, Copilot Studio, CrewAI, or similar.
- Implement agentic patterns such as tool use, planning, routing, human-in-the-loop flows, memory, and multi-agent collaboration.
- Enable trusted enterprise grounding through RAG, semantic search, hybrid search, reranking, MCP connectors, knowledge systems, and enterprise APIs.
- Integrate agents with enterprise data sources, APIs, document repositories, workflow tools, knowledge bases, and business applications.
- Collaborate with data engineers, AI engineers, and architects to ensure integration patterns are scalable, secure, compliant, and reusable.
- Support safe access to structured and unstructured data, metadata, business context, and enterprise tools.
- Create reusable blueprints, templates, reference architectures, and starter kits for common AI agent use cases.
- Build high-impact Proof-of-Value solutions with business teams to demonstrate platform capabilities and validate business value.
- Translate PoV learnings into reusable platform patterns, components, documentation, and adoption guidance.
- Provide technical guidance, mentoring, and hands-on support to developers, data scientists, and business technologists using the platform.
- Improve developer experience by simplifying platform usage, reducing friction, and creating clear examples and onboarding materials.
- Share knowledge through documentation, demos, internal events, technical sessions, and communities of practice.
- Apply software engineering best practices including testing, CI/CD, code review, documentation, monitoring, and maintainability.
- Implement secure, compliant, auditable, and responsible AI patterns for data access, tool use, agent behavior, and enterprise integration.
- Evaluate emerging agentic AI technologies and continuously improve platform capabilities, observability, evaluation, and feedback loops.
- Hold a B.Sc., B.Eng., M.Sc., or equivalent degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, or a related field.
- Have 5-8 years hands-on on software engineering experience, ideally in AI, automation, cloud platforms, developer platforms, or enterprise application development.
- Have experience building AI-powered applications, GenAI solutions, workflow automations, or agent-based systems.
- Have an interest in AI and stay up to date with the latest advancements in agentic AI, LLM application development, data engineering, and AI platform engineering.
- Be team-oriented, proactive, collaborative, and comfortable working in a fast-paced, dynamic environment.
- Have strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
- Have excellent verbal and written communication skills.
- Be detail-oriented, organized, and focused on delivering high-quality engineering outcomes.
- Be willing to learn, experiment, and expand your skill set as AI technologies evolve.
- Be able to communicate in English at C1 level or higher.
- Have demonstrated experience acting as a technical mentor and sharing knowledge through technical sessions, demos, speeches, internal events, or communities of practice.
- AI & Agentic Development: Experience building AI-powered applications using LLMs and frameworks such as LangChain, LangGraph, AWS AgentCore, Semantic Kernel, CrewAI, or similar.
- Workflow Automation: Familiarity with automation and orchestration tools such as n8n, Copilot Studio, Flowise, or similar.
- Programming: Strong skills in Python or JavaScript/TypeScript.
- Development: Experience with REST APIs, webhooks, microservices, connectors, and enterprise system integrations.
- AI Architecture: Familiarity with RAG architectures, embeddings, semantic search, vector databases, and context engineering patterns.
- Integration: Experience integrating AI solutions with enterprise data sources, knowledge bases, APIs, document repositories, and workflow tools.
- Cloud Platforms: Experience developing solutions on AWS and Azure; GCP is a plus.
- DevOps: Familiarity with Git, CI/CD, containers, and cloud-native deployment practices.
- Experience with multi-agent workflows, agent memory, tool use, and human-in-the-loop patterns.
- Familiarity with MCP, semantic layers, data catalogs, metadata, or business glossary integration.
- Familiarity with AI evaluation, observability, tracing, guardrails, and feedback loops.
- Experience building developer platforms, reusable accelerators, internal tools, SDKs, or APIs.
- Ability to work across product, architecture, platform, security, compliance, data, and business teams.
- Strong ownership mindset, with the ability to drive topics independently from idea to implementation.
- Ability to balance rapid experimentation with enterprise requirements for quality, scalability, security, and compliance.
- Comfort working in an emerging and fast-changing technology space where patterns, frameworks, and best practices are continuously evolving.
This position also offers an attractive benefits package.
Learn more about how we reward our employees at Roche.
Who we areA 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.
Skills Required
- B.Sc., B.Eng., M.Sc. or equivalent in Computer Science or related field
- 5-8 years hands-on software engineering experience (AI, cloud, or enterprise apps)
- Experience building AI-powered applications, GenAI solutions, workflow automations, or agent-based systems
- Experience with LLM/agent frameworks (e.g., LangChain, LangGraph, AWS AgentCore, Semantic Kernel, CrewAI)
- Familiarity with automation/orchestration tools (e.g., n8n, Copilot Studio, Flowise)
- Strong programming skills in Python or JavaScript/TypeScript
- Experience with REST APIs, webhooks, microservices, connectors, and enterprise integrations
- Familiarity with RAG architectures, embeddings, semantic search, and vector databases
- Experience developing solutions on cloud platforms (AWS and Azure)
- Familiarity with Git, CI/CD, containers, and cloud-native deployment practices
- Ability to communicate in English at C1 level or higher and provide technical mentorship
- Experience with GCP
- Experience with multi-agent workflows, agent memory, tool use, human-in-the-loop, MCP or semantic layers, AI observability, and evaluation
- Experience building developer platforms, SDKs, accelerators, or internal tools
Roche Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roche and has not been reviewed or approved by Roche.
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Retirement Support — U.S. materials describe a 401(k) with both matching and an additional company contribution, supported by formal plan documents and true‑up features. This structure is positioned as a standout element of the total package, particularly at Genentech.
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Leave & Time Off Breadth — Time‑off provisions include substantial vacation, a year‑end shutdown, and a paid six‑week sabbatical after six years. These elements indicate a recharge‑oriented approach within the U.S. offering.
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Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, and mental‑health resources alongside well‑being programs. Benefits pages consistently highlight breadth across core health coverage elements.
Roche Insights
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What We Do
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).
