WE HELP THE WORLD RUN BETTER

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

SUMMARY

AI Business Services provides strategic machine learning services to infuse intelligence into SAP solutions. Across various focus clusters and building on strong teams, we pioneer game-changing solutions in close collaboration with customers & partners in industry and research and other SAP units. By exploring unconventional ideas and developing inspiring proofs of concept, we push state-of-the-art computer science and enterprise machine learning.
As a Senior Developer of AI Business Services, you will have the unique opportunity to be part of the machine learning team in Singapore. This dynamic, fun, and growth-oriented environment provides a vast potential to learn and work on emerging technologies such as Machine Learning, AI, Knowledge Graphs, Cloud, and Big Data. You will be working together with experienced software engineers and machine learning experts to deliver state-of-the-art intelligent services in our cloud ecosystem.

THE ROLE

As part of the Machine Learning and Knowledge Graph team, you will work alongside a group of dedicated experts—including researchers, developers, Knowledge Graph Engineers, DevOps engineers, and architects—to build cutting-edge machine learning and knowledge graph pipelines for a diverse set of use cases. Your success will be measured by your ability to deliver scalable, production-ready solutions that match or exceed the performance of top-tier research prototypes.
Your work will involve pushing the frontiers of what is possible in the integration of machine learning with knowledge graphs to create innovative, intelligent systems. You will explore, evaluate, and implement the latest approaches in distributed systems, cloud-native technologies, and semantic reasoning to power data-rich applications.
As a Senior Engineer, you are expected to take full technical ownership of team deliverables, with responsibility for architectural design, code quality, and production readiness. A key part of your role will be to lead the development of Knowledge Graph–related functional services. You will also contribute to the design and implementation of intelligent agents that operate over large-scale graph and tabular data.
In addition to your technical contributions, you will mentor junior developers and guide best practices in coding, testing, deployment, and performance tuning. You will lead by example in driving engineering excellence, fostering a culture of continuous improvement, automation, and cloud operation maturity.
You understand the business processes that generate and consume data, allowing you to select the most appropriate technologies and evaluate their impact both technically and strategically. You are experienced in
handling multi-terabyte datasets in scale-up and scale-out environments and are capable of translating complex requirements into performant, maintainable, and scalable solutions.

You will be responsible for:

• Designing and building production-grade Knowledge Graph services and microservices in Python
• Developing intelligent agents that interact with and learn from Knowledge Graphs and other structured data sources
• Working with Kubernetes and cloud infrastructure to ensure reliable and scalable deployment of services
• Exploring and integrating emerging tools and frameworks in ML, semantic technologies, and distributed systems
• Producing high-quality, maintainable code with an emphasis on modularity, testing, and performance
• Visualizing and communicating results and insights effectively to both technical and non-technical audiences
• Collaborating closely with product owners, designers, and cross-functional teams to understand business requirements and deliver impactful solutions
• Mentoring junior engineers, performing code reviews, and contributing to a high-performance team culture
• Solving complex integration and performance challenges across systems, often working across time zones in a global team setup

You should be comfortable immersing yourself in new topics quickly, working independently and collaboratively, and thriving in an environment where innovation and initiative are highly valued.