Senior Data Scientist - Generative AI & Agentic Systems

Roche is hiring a Senior Data Scientist - Generative AI & Agentic Systems in San Jose, Costa Rica. Level rates it ; you can apply on Roche.

Level's read on this job

Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LangChain, LlamaIndex and LangGraph.
Level classifies it as a senior role.
Level lists 1,200+ other open roles at Roche.

AI in this role

Design and deploy enterprise Generative AI applications, multi-agent frameworks, and advanced RAG pipelines as a senior data scientist.

LangChainLlamaIndexLangGraphPythonLlamaVector databasesGraph Databases

ragai-agentsml-opsgenerative-aiagentic-systemsllmopsmachine-learningapi-development

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.

How we rate this

Senior Data Scientist - Generative AI & Agentic Systems at Roche rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Scientist - Generative AI & Agentic Systems is an open job at Roche.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in San Jose, Costa Rica.
The job was posted on September 22, 2026.
Seniority: senior.
Applications are handled by Roche. Apply on Roche

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agentsML OpsGenerative AIAgentic SystemsLlmopsMachine learningAPI Development

Also common in data scientist jobs at this level

Machine learning Spark PyTorch Deep learning NLP TensorFlow

Pay

Typical data scientist job: $168k

This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you monitor a model once it's live, and how do you know it needs retraining?
Tell me about a project where generative ai was part of your work. What did you do?
Tell me about a project where agentic systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: RAG, AI agents, ML Ops, Generative AI, and Agentic Systems. 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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