Forward Deployed Application/ML Engineering Expert

We help the world run better. At SAP, we design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You will translate ambiguous business requirements into secure, scalable, and reliable solutions, owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. In this role, you will: - Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows. - Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges. - Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability. - Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints. - Own application delivery end-to-end from problem framing and prototyping through deployment, observability, and production operations. - Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions. - Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress. What You Bring: - Extensive hands-on experience in software and application engineering for cloud-native, enterprise, and SaaS environments, with strong knowledge of architectural principles such as scalability, security, and reliability. - Proven ability to design and deliver AI-native applications, utilizing large language models, RAG architectures, vector databases, and agentic systems to innovate enterprise workflows. - Strong proficiency in widely used AI/ML Python libraries and frameworks, with exposure to data pipelines and MLOps practices. - Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations. - Strong problem-solving skills, critical thinking, and exposure to design thinking practices; proven ability to mentor teams and establish development guardrails and best practices. - Exposure to SAP AI technologies such as SAP AI Core, Vectorization, Joule Studio, RPT-1, and Business Data Cloud is a strong advantage. - Experience owning solutions across the full application lifecycle from design and implementation to deployment and production operations.