Level

RochePosted 3d ago

Senior Data Scientist - Generative AI & Agentic Systems

Senior Data Scientist - Generative AI & Agentic Systems at Roche scores 98 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

San Jose, Costa RicaseniorFull time

AI in this role

langchainllamaindexlanggraph
ragai-agentsml-ops

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

As a Senior Data Scientist - Generative AI, you will join the Global Analytics and Technology Center of Excellence (GATE) in San José, Costa Rica. In this hands-on, high-impact role, you will design and deploy cutting-edge agentic capabilities and enterprise Generative AI applications. Moving seamlessly across the full product stack—from problem framing and data retrieval to multi-agent flow design, API development, and LLMOps evaluation—you will serve as a subject matter expert driving state-of-the-art AI architectures into production.


The Opportunity
  • Agentic Application Design: Architect end-to-end multi-agent applications, retrieval layer solutions, and foundational AI capabilities, taking ideas from prototype to production deployment.
  • Advanced RAG & Retrieval: Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating vector/graph databases, reranking algorithms, chunking strategies, and hybrid retrieval.
  • Production-Grade Engineering: Write clean, tested Python code, manage APIs, enforce version control, and set up CI/CD pipelines for Generative AI systems.
  • LLMOps & System Observability: Implement evaluation harnesses, prompt/version management, cost/latency optimization, and token economics monitoring for production agents.
  • Strategic AI Consulting: Influence technical priorities across global enterprise stakeholders, evaluating when to deploy GenAI versus classical ML or deterministic engineering methods.
  • Mentorship & Collaboration: Coach team members on agentic flow design and partner with Product Owners to align technical execution with user experience strategy.

Who You Are
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related quantitative field.
  • 7+ years of professional experience, with demonstrated hands-on expertise building enterprise Generative AI products and agentic workflows.
  • Deep technical mastery of LLMs, vector databases, graph databases, reranking algorithms, and Agentic frameworks (LangChain, LangGraph, LlamaIndex, AWS AgentCore).
  • Proven track record in RAG architecture design, chunking optimization, and retrieval quality evaluation.
  • Solid software engineering skills in Python, SQL (and AI-generated SQL), API development, and MLOps/LLMOps monitoring platforms.
  • Familiarity with agent protocols (MCP, A2A), multimodal AI applications, and frontend/UI tools (Figma, React, Angular) is advantageous.
  • Must be currently based in Costa Rica or hold valid work authorization for San José.

No relocation benefits are offered for this position.

 

 

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.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RagAI AgentsMl OpsLangChainLlamaIndexLangGraph

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. How do you monitor a model once it's live, and how do you know it needs retraining?
  4. What's a project where you used LangChain hands-on?
  5. Walk me through how you've used LlamaIndex in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Rag, AI Agents, Ml Ops, LangChain, and LlamaIndex. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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