Senior Forward Deployed AI Engineer

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. In this role, you contribute to the design, development, and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. You bring solid engineering fundamentals and a growing command of AI and machine learning techniques, applying them to solve real-world business problems under the guidance of senior engineers and technical leads. This is a role for someone early in their AI engineering career who is hungry to learn, eager to contribute, and excited by the challenge of building production-grade solutions that make a tangible difference for enterprise customers. In This Role, You Will: - Contribute to the development of production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines, and agent-based components. - Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs. - Implement features, components, and integrations under the guidance of senior engineers, maintaining code quality and adherence to engineering standards. - Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements. - Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge. - Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability. - Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing. - Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality. What You Bring: - Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment. - Growing understanding of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services. - Exposure to data pipelines, MLOps concepts, or AI/ML model integration in application contexts. - Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability. - Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment. - Basic understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines. - Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings. - An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus.