Forward Deployed Senior AI Engineer

About the role

SAP is looking for a forward-deployed senior AI engineer to join its AI and industry expert team, which serves customers across the Americas, Europe and Asia. The role contributes to the design, development and operation of AI-native enterprise applications within fast-moving, customer-embedded delivery teams. It suits someone early in their AI engineering career who wants to learn and build production-grade solutions under the guidance of senior engineers.

Key responsibilities

• Develop production-grade, cloud-native applications integrating AI capabilities such as large language models, RAG pipelines and agent-based components.
• Work in customer projects and cross-functional teams, learning business processes, technical landscapes and customer needs.
• Implement features, components and integrations while maintaining code quality and engineering standards.
• Support prototyping, testing and iteration of AI solutions in customer environments.
• Take part in code reviews, technical discussions and design sessions.
• Help monitor, troubleshoot and improve deployed solutions for reliability.
• Contribute to documentation, reusable components and engineering best practices.

Required profile

• Solid software engineering foundations and growing understanding of AI and ML concepts.
• Ability to work collaboratively, follow engineering standards and take ownership of tasks.
• Curious, adaptable and eager to learn in a fast-paced environment.
• Strong communication skills and ability to work in cross-functional, customer-facing teams.
• Early exposure to SAP AI technologies such as SAP AI Core or SAP BTP is a plus.

Required skills

• Proficiency in Python and hands-on experience in at least one cloud-native development environment.
• Familiarity with large language models, ML frameworks (TensorFlow, PyTorch, Scikit-learn) and API-based AI services.
• Exposure to data pipelines, MLOps or AI/ML model integration.
• Basic understanding of cloud platforms (AWS, Azure, GCP) and tools such as Git, Docker and CI/CD pipelines.