Senior Data Scientist - Generative AI & Agentic Systems

Posted 14 Days Ago
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San José, San José, CRI
In-Office
Senior level
Healthtech • Biotech • Pharmaceutical
The Role
Design and deploy enterprise generative AI and multi-agent applications from prototype through production. Build advanced RAG pipelines using vector and graph databases, optimize retrieval quality, develop production-grade Python APIs, and implement LLMOps evaluation, observability, prompt management, and cost monitoring. Advise global stakeholders on AI architecture decisions, mentor team members, and collaborate with product owners. Requires strong expertise in LLMs, agentic frameworks, software engineering, and enterprise AI products.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related quantitative field
  • 7+ years of professional experience
  • Hands-on experience building enterprise generative AI products and agentic workflows
  • Deep technical expertise with LLMs, vector databases, graph databases, reranking algorithms, and agentic frameworks
  • Experience designing RAG architectures, optimizing chunking, and evaluating retrieval quality
  • Strong software engineering skills in Python, SQL, API development, and MLOps/LLMOps monitoring platforms
  • Familiarity with MCP, A2A, multimodal AI applications, Figma, React, and Angular
  • Currently based in Costa Rica or possessing valid work authorization for San Jose, Costa Rica

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.

  • 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.
  • 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.
  • 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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The Company
Provincia de Buenos Aires
93,797 Employees
Year Founded: 1896

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).

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