About the job

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
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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
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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
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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.

AI and Generative AI Engineer with over two years of experience designing, building, and deploying production-grade Large Language Model systems, AI agents, and Retrieval-Augmented Generation pipelines. Skilled in LangChain, LangGraph, Hugging Face, FastAPI, and multi-agent architectures, having delivered 4+ production applications while reducing AI workflow latency by approximately 30 percent and improving accuracy by approximately 35 percent. Brings strong enterprise engineering discipline from Accenture, having supported 25 or more projects with up to 80 percent process automation, combined with a solid foundation in deep learning, vector search, and cloud-based deployment. Holds a Master of Science in Applied Artificial Intelligence from Cranfield University, United Kingdom, and is available to join immediately.