AB InBev

• Design, develop, and deploy multi-agent AI systems for reasoning, planning, and task execution. • Implement RAG (Retrieval-Augmented Generation) pipelines, using orchestration tools and frameworks (LangChain, LangGraph, Azure AI Foundry). • Optimize model serving for low-latency, high-throughput inference using frameworks like KServe, Triton Inference Server, or Ray Serve. • Build observability and evaluation frameworks to monitor agent reasoning, success rates, and failure cases. • Collaborate with ML and data engineers to integrate structured and unstructured data sources into agent workflows. • Apply security and alignment techniques (guardrails, prompt injection prevention, red-teaming) to ensure robust behavior. • Work in a CI/CD environment (Azure DevOps, GitHub Actions, ArgoCD) for rapid iteration and reliable deployment. • Participate in architectural decisions involving distributed systems, GPU usage, caching strategies, and memory management.

• Implement ETL/ELT solutions and data integration between multiple systems and data sources. • Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data. • Collaborate with other teams to ensure data security and compliance. • Design, develop, and implement solutions to optimize the performance and scalability of data processing systems.

• Leads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES. • Design efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling. • Implement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products. • Develop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others). • Contribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.

• Be part of a high-impact fintech data science team building ABIs credit models, credit decisioning systems, and ML-powered infrastructure that drive billions of dollars in credit transactions annually for millions of users worldwide. • Design, develop, and deploy statistical and machine learning models across the full lifecycle — from research and experimentation to production — with a focus on credit risk, underwriting, portfolio optimization, and experimentation. • Write a substantial amount of production-grade code while conducting deep analytical and statistical research, translating theory into practical improvements in live credit systems. • Lead and contribute to experimentation and model evaluation (offline analysis, simulations, and online tests), ensuring models are robust, explainable, and aligned with regulatory, risk, and business constraints. • Work with industry-leading technologies and modern ML platforms, building scalable modeling and data workflows that operate reliably at global scale. • Collaborate closely with exceptional engineers, product managers, analysts, and business stakeholders. • Continuously explore and adopt state-of-the-art methods in statistics, machine learning, and optimization, raising the technical bar and shaping best practices across the fintech data science organization.

About AB InBev AB InBev is the leading global brewer and one of the top 5 consumer goods companies in the world. With over 500 beer brands, we are the number one or two in many of the main beer markets worldwide, including North America, Latin America, Europe, Asia, and Africa. About ABI 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 enables us to maximize the use of data and drive AB InBev's digital transformation and organic growth around the world. About BEES: As a tech cell of our organization, we have a simple goal: to grow. Grow as people, as professionals, and as a company. To achieve this, we use technology to create digital solutions that simplify our customers’ lives, make their decisions smarter, and their businesses more profitable. With offices in São Paulo and Campinas, we encourage our team to attend key events and meaningful in-person meetings throughout the year. Responsibilities: Implement ETL / ELT solutions and data integration between multiple systems and data sources. Design, implement, and maintain data pipelines to ingest, store, and process large volumes of data. Collaborate with other teams to ensure data security and compliance. Design, develop, and implement solutions to optimize the performance and scalability of data processing systems. Requirements and qualifications: Benefits: Performance-based bonus* Attendance bonus* Private pension plan Meal allowance Casual office and dress code Days off* Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsides Discounts on Ambev products* Clube Ben partnership Scholarship* School materials assurance Language and training platforms Transport allowance Rules applied* Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.com