Senior Data Scientist - Generative AI

AB InBev | Growth Group; Campinas; On-site; BRL 180,000 - 320,000; Full time

Benefits offered by this job

Performance bonus

Attendance bonus

Casual office and dress code

Health, dental, and life insurance

Discounts on Ambev products

School materials assurance

Language and training platforms

Job summary

AB InBev Growth Group is hiring a Senior Data Scientist to lead our GenAI platform, including prompt-driven generation and retrieval-augmented pipelines grounded in real brand data.

You will own both generative and search components, design scalable architectures, and guide the team’s GenAI roadmap with hands-on implementation across Azure/OpenAI, Databricks, and Spark.

Qualifications

• Strong foundation in frontier GenAI techniques: LLMs and multimodal generation.
• Experience with search and retrieval systems: embeddings and vector search.
• Proven ability to deploy and monitor GenAI services in production.

Responsibilities

• Design, build, and productionize GenAI systems end to end from prompt engineering to RAG ground.
• Own the search and retrieval layer for GenAI apps: embeddings, vector search, re-ranking.
• Stay updated on LLMs, multimodal generation, and RAG innovations for the roadmap.
• Use Azure, Databricks, Spark to scale GenAI and RAG with async APIs and pipelines.
• Utilize Python/PySpark for data manipulation, embeddings, and modeling.
• Implement automation and evaluation workflows: offline eval, A/B testing, monitoring.
• Collaborate with data engineers, ML engineers, product managers; mentor colleagues.

Skills

GenAI systems

LLMs

RAG architectures

Embeddings

Prompt engineering

Python

PySpark

FastAPI

Cloud platforms

Retrieval optimization

Education

Bachelor's degree in CS/quantitative field

Master's degree or PhD a plus

Tools

Azure OpenAI

Databricks

Spark

OpenAI API

FastAPI

PySpark

Job description

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the Role:

We’re hiring a Senior Data Scientist to help lead our GenAI platform — the systems behind prompt-driven solutions and the retrieval/RAG pipelines that ground them in real product and brand data. You’ll own both the generative side (LLM and diffusion-based creative pipelines) and the search side (embeddings, vector retrieval, RAG performance) of a production system serving live creative-generation traffic, and help set technical direction for how the team builds and evaluates GenAI and search systems going forward.

What you’ll do:

• Design, build, and productionize GenAI systems end to end: from prompt engineering to the RAG architectures (retrieval, ranking, and generation) that ground them in accurate, brand-safe outputs.
• Own the search and retrieval layer for GenAI applications: embedding models, vector similarity search, and re-ranking strategies, continually evaluating retrieval quality (precision/recall, relevance) and latency/performance, and iterating on chunking, indexing, and hybrid search techniques.
• Stay up to date with the latest advancements in LLMs, multimodal generation, and retrieval-augmented generation. Apply frontier techniques (fine-tuning, few-shot/in-context learning, agentic and multi-step RAG) to solve complex creative and search problems, driving innovation across the team’s GenAI roadmap.
• Utilize cloud and orchestration platforms (Azure, Azure OpenAI/Foundry, Databricks, Spark) to process large-scale datasets and serve GenAI and RAG systems efficiently and at production scale through async APIs and background job pipelines.
• Utilize Python (FastAPI, PySpark) for data manipulation, embedding pipelines, and modeling.
• Implement automation and evaluation workflows: offline eval, A/B testing, monitoring of retrieval and generation quality to streamline iteration and enhance productivity.
• Collaborate closely with cross-functional teams, including data engineers, ML/platform engineers, business stakeholders, and product managers, to understand GenAI and search requirements and deliver high-quality, production-grade solutions. Embrace an agile development approach to iterate quickly and efficiently, and mentor other data scientists on GenAI and retrieval best practices.

What you’ll need:

• Bachelor’s degree in computer science, engineering, mathematics, or another quantitative field. A master’s degree or PhD is a plus.
• Relevant experience in data science or applied machine learning, with strong technical skills and a deep understanding of frontier GenAI techniques: LLMs, multimodal (text-to-image) generation, prompt engineering, and RAG architectures.
• Hands-on experience with search and retrieval systems: embedding models, vector/similarity search, hybrid (semantic + keyword) search, and re-ranking, along with a strong grasp of retrieval performance: latency, throughput, and recall/precision trade-offs, and how to evaluate and tune them in production.
• Experience with LLM/embedding APIs (OpenAI, Azure OpenAI, or similar). Experience implementing and deploying generative and retrieval models using these frameworks.
• Experience working with cloud platforms such as Azure (Azure OpenAI/Foundry, Blob Storage, Event Hub), Databricks, and Spark for big data processing, model serving, and scalable GenAI system design.
• Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks. Strong knowledge of API frameworks (e.g., FastAPI) for productionizing models as services.
• Good knowledge of CI/CD tools like GitHub for version control and collaboration, and of testing/typing tooling (pytest, mypy, linting) for shipping reliable, production-grade GenAI services. Understanding of workflows and automation tools, including async job orchestration and evaluation pipelines, to streamline processes and enhance efficiency.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Affinitive Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affinitive Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

Demographic Brazil

ABInBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.