Senior Forward Deployed AI Engineer

We help the world run better 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. What you'll build 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. Where you belong: You will be part of a growing AI and industry expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one. #SAPIndustryAICareers Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models

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. 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.

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.