AB InBev | Growth Group

Own the end-to-end resolution of production incidents and service requests for digital applications while contributing to root cause analysis. Monitor incident queues to meet SLAs and maintain operational documentation such as SOPs and runbooks.

Design and deploy complex multi-agent AI systems capable of reasoning, planning, and task execution. Implement RAG pipelines and optimize model serving for low-latency, high-throughput production environments.

The role involves leading the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools used across BEES. This includes designing efficient data models and implementing architectural improvements to enhance performance, monitoring, and evolution of data products.

The role involves developing data-driven solutions for credit risk, underwriting, pricing, and decisioning systems that impact real-time credit decisions at scale. This includes designing, developing, and deploying statistical and machine learning models across the full lifecycle, from research to production.

Implement ETL/ELT solutions and maintain data pipelines for large volumes of data. Collaborate with teams to ensure data security and optimize data processing systems.