Raiffeisen Bank International AG Tech Stack

Austria-based banking group modernizing operations with AI and data infrastructure

Banking Vienna 10,001+ employees Public Company

Raiffeisen Bank International is a 45,000-person banking group serving 18.6 million customers across Austria and Central/Eastern Europe. The tech stack reveals an AI-first modernization effort: Databricks + Python + PySpark underpin data operations, while LangChain, LlamaIndex, and CrewAI signal active experimentation with agentic AI systems. Project portfolio (agentic AI solutions, RAG optimization, LLMOps/MLOps pipelines, AI innovation guild) and pain points (accelerating AI adoption, automation) show the org is not just adopting LLMs but building internal capability to scale them—a shift from traditional banking IT toward data science and AI engineering.

Tech Stack 53 technologies

Core StackDatabricks Python Power BI Confluence Jira AWS PySpark Apache Spark LangChain MLflow GitHub Actions Jenkins Docker Apache Airflow Prefect Kubernetes Java Spring React Hibernate SQL SharePoint LlamaIndex CrewAI OpenAI Assistants Microsoft Office Azure Spring Boot REST JPA+23 more

What Raiffeisen Bank International AG Is Building

◆Challenges

Digitalizing pension fund core processes
Branch transformation
Bridging traditional asset management with tokenization
Identifying strategic opportunities in new markets
Process modernization
Accelerating ai adoption
Automation of trading
Regulatory compliance for digital assets
Scalable execution of tokenization use cases
Cost transparency

▲Active Projects

Agentic ai solutions
Sales & service model implementation for pi affluent and sme segments
Hr branch transformation initiatives
Cross-domain pocs for emerging tech
Build ai innovation guild
Scenario analysis and data analytics for risk monitoring
Rag optimization
Llmops/mlops pipeline
Equity and index market making book development
Pl generating strategies implementation

Hiring Activity

Accelerating50 roles · 30 in 30d

Department

Finance

Engineering

Sales

Security

Audit

Construction

Data

Executive

Seniority

Mid

Senior

Intern

Manager

Lead

Junior

Notable leadership hires: AI Community Lead, Debt Management Lead, Head Free-Financed Housing

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About Raiffeisen Bank International AG

Raiffeisen Bank International is a publicly traded banking group headquartered in Vienna, structured as the central institute for Austria's regional Raiffeisen banks and affiliated credit institutions. The group operates roughly 1,500 business outlets, with the majority in Central and Eastern Europe. The Austrian regional Raiffeisen banks own 61.2% of shares; the remainder trades freely on the Vienna Stock Exchange. Core pain points span digital transformation (pension fund digitalization, branch modernization), emerging financial products (equity/index market making, tokenization integration), and operational efficiency (process modernization, cost transparency), alongside regulatory pressures specific to digital assets.

HeadquartersVienna

Company Size10,001+ employees

Hiring MarketsAustria, United Kingdom

Frequently Asked Questions

What AI and data technologies does Raiffeisen Bank International use?

Stack includes Databricks, Python, PySpark, Airflow, and Power BI for analytics. For AI: LangChain, LlamaIndex, CrewAI, and OpenAI Assistants. CI/CD via GitHub Actions, Jenkins; containerization via Docker and Kubernetes.

What is Raiffeisen Bank International working on?

Active projects include agentic AI solutions, RAG optimization, LLMOps/MLOps pipelines, equity/index market making, tokenization strategies, HR branch transformation, and risk monitoring analytics. Also building an internal AI innovation guild.