Austrian banking group and central institute serving Austria and CEE
Raiffeisen Bank International is a Vienna-listed banking group whose stack pairs cloud-native infrastructure (Kubernetes, OpenShift, ArgoCD, Apache Pulsar) with SAP S/4HANA and an emerging GenAI layer built on Azure AI, LangChain and LlamaIndex. Current hiring is senior-weighted and spread across engineering, finance, legal and security, with offensive security work (red/purple teaming, CALDERA) and digitalized loan-workout processes as standout themes.
Notable leadership hires: Film Director
Raiffeisen Bank International AG is one of the leading banking groups in Austria and Central and Eastern Europe, headquartered in Vienna. It serves retail and corporate customers through a large branch network, with most of its business located in CEE. Within the Austrian Raiffeisen Banking Group it acts as the central institute for the regional Raiffeisen banks and affiliated credit institutions. The company is publicly listed on the Vienna Stock Exchange, with the regional Raiffeisen banks holding a majority stake. It employs more than 10,000 people.
RBI uses Java, Go, Python, Kubernetes, OpenShift, ArgoCD, Helm, Apache Pulsar, AWS, Azure, SAP S/4HANA, Appian, Databricks, Apache Spark, Power BI, Angular and TypeScript.
Yes. Its stack includes Azure AI alongside LangChain and LlamaIndex, frameworks commonly used to build LLM-based applications, plus Databricks and Spark for data processing.
Yes. Hiring is accelerating in Austria, mostly at senior level, and includes security roles focused on red and purple team engagements, custom offensive tooling and closing detection gaps.
Other companies in the same industry, closest in size
Raiffeisen Bank International AG's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.