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From 51 similar postings that came down. Coming down is not always a hire.
Senior Data Scientist - Generative AI & Agentic Systems
Reads like an AI Engineer role: building products on existing AI models.
Sabana Norte, San Jose, Costa Rica
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Permanent — employment source
Employment type in the employer’s posting: Regular / Permanent
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
or hold valid work authorization for San José
What you’ll work on
Full postingArchitect multi-agent applications and retrieval layers, taking them from prototype to production
Build and optimize RAG pipelines with vector/graph databases, reranking, and hybrid retrieval
Write tested Python code, manage APIs, and set up CI/CD for GenAI systems
Run evaluation harnesses and monitor cost, latency, and token use for production agents
Advise on when to use GenAI versus classical ML or deterministic methods
From the employer’s posting
Architect end-to-end multi-agent applications, retrieval layer solutions, and foundational AI capabilities, taking ideas from prototype to production deployment.
Build and optimize advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating vector/graph databases, reranking algorithms, chunking strategies, and hybrid retrieval.
Write clean, tested Python code, manage APIs, enforce version control, and set up CI/CD pipelines for Generative AI systems.
Implement evaluation harnesses, prompt/version management, cost/latency optimization, and token economics monitoring for production agents.
evaluating when to deploy GenAI versus classical ML or deterministic engineering methods
Education & alternatives
- 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.
About Roche
A healthier future drives us to innovate.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Sep 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Roche is hiring
52 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- React
Where the posting names them
- 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.
- 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.
- 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.
Your next step
Complete your application on roche.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job 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
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sabana Norte, San Jose, Costa Rica
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.
- Work authorization
- 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.