Graduate AI Engineer (m/f/d) - Banking Solutions

About SAP Fioneer

At SAP Fioneer, innovation drives everything we do. Spun out from SAP, we combine agility, cutting-edge delivery, and financial services expertise to build the next generation of banking software. 

Our mission: Enable banks to achieve speed, scalability, and cost-efficiency through digital innovation, cloud-native technology, and solutions that cover core banking processes end-to-end. With rapid global growth, a lean structure, and a collaborative culture, SAP Fioneer is the place to accelerate your career. 

The Role

We are seeking a Graduate AI Engineer (m/f/d) to join our AI innovation team and help shape the next generation of banking products. In this role, you will contribute to the design, development, and deployment of AI-powered features that enhance our core banking software.

This is an exciting opportunity for an early-career developer to gain hands-on experience with Generative AI technologies in a real-world enterprise environment. You will work alongside experienced engineers, product teams, and banking experts to build innovative solutions, transform ideas into working prototypes, and support the delivery of production-ready AI capabilities for customers around the world.

What You'll Do

  • Contribute to the design, development, testing, and deployment of AI-powered features for our banking products.

  • Participate in the full AI innovation lifecycle, from exploring new ideas and building prototypes to helping deliver scalable, production-ready solutions.

  • Work with banking data and business processes to develop AI applications that generate insights, automate tasks, and enhance user experiences.

  • Collaborate closely with software engineers, product managers, solution experts, and customer-facing teams to deliver impactful AI solutions.

  • Learn and apply best practices for developing secure, scalable, and reliable AI applications.

  • Assist in integrating AI capabilities with our core banking platforms and enterprise technologies, including SAP-based environments where applicable.

  • Stay up to date with emerging AI technologies and contribute ideas that help drive innovation across our products.

  • Take ownership of development tasks while receiving mentorship and guidance from experienced team members.

Requirements

  • Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics, Engineering and interest in the consulting business in the area of financial service providers

  • Understanding of different approaches to integrate LLMs into enterprise solutions

  • Strong programming skills (e.g. Python, Java, JavaScript, C++, R) 

  • First cloud-native development experience (Azure, AWS, or Google Cloud) with containerization/orchestration (Docker, Kubernetes)  

  • Skilled at translating business requirements into scalable AI architectures 

Why Join Us? 

  • Shape the future of AI in banking – Lead the creation of AI capabilities embedded in mission-critical systems 

  • Hands-on innovation – Own the full lifecycle from prototype to production 

  • Team-building impact – Build and mentor a new AI development team from the ground up 

  • Global collaboration – Work with colleagues and clients across continents 

  • Flexibility – Remote-first with occasional travel for high-value interactions 

Benefits

We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.

Summary

Graduate AI Engineer building AI-powered features for banking products, working across the full lifecycle from prototype to production. Requires a degree in Informatics, Mathematics, Computer Science, Physics or Engineering, strong programming skills in Python, Java, JavaScript, C++ or R, first cloud-native development experience with Docker and Kubernetes, and understanding of integrating LLMs into enterprise solutions.

Responsibilities

Contribute to design, development, testing and deployment of AI-powered features for banking products; participate in the full AI innovation lifecycle from prototype to production; work with banking data and business processes; collaborate with software engineers, product managers, solution experts and customer-facing teams; learn best practices for secure, scalable AI applications; assist integrating AI capabilities with core banking platforms including SAP-based environments; stay up to date with emerging AI technologies; take ownership of development tasks with mentorship

Qualifications

Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics or Engineering; interest in consulting for financial service providers; understanding of approaches to integrate LLMs into enterprise solutions; strong programming skills; first cloud-native development experience; skilled at translating business requirements into scalable AI architectures

Education requirements

Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics or Engineering

Experience requirements

First cloud-native development experience with containerization/orchestration; understanding of approaches to integrate LLMs into enterprise solutions

Benefits

occupational pension provisions; support for health and wellbeing; mobility options like bike leasing and transportation allowances; celebration rewards; meal programs; jubilee recognition; relocation reimbursement