Machine Learning Engineer Expert

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.       PURPOSE AND OBJECTIVES  As a critical part of SAP’s AI Transformation journey, the mission of the CPIT Order-to-Cash (O2C) Team is to drive the implementation of the company’s strategy and achievement of shared business objectives through world class end-to-end business processes and systems. Amongst the team’s key objectives are to innovate, standardize, simplify, and automate SAP’s core business processes and assure continuous alignment with the SAP IT portfolio and business stakeholders. In all activities, closing the loop from strategy to execution is key to driving impact for SAP and for our customers.     About the Role We are looking for an Expert AI/Agentic Engineer who combines deep hands-on engineering excellence with a strong architectural mindset. You will design, build, and operate enterprise-grade AI/ML and Generative AI solutions within the SAP ecosystem - spanning intelligent assistants, AI copilots, agentic workflows, and RAG-powered applications. You are first and foremost an engineer who writes production-quality code, and you bring the architectural thinking to ensure what you build scales, performs, and lasts. You will work at the intersection of cutting-edge AI engineering and SAP's technology landscape, contributing to systems that deliver measurable business impact.   What You Will Do   AI/GenAI Engineering & Architecture

Design and build scalable LLM-powered applications, intelligent assistants, and AI copilots aligned to business transformation goals. Architect and implement advanced RAG pipelines, knowledge retrieval systems, and agentic / multi-agent workflows using commercial and open-source models. Write clean, well-tested, production-grade code across the full AI application stack - from data ingestion and embedding pipelines to orchestration logic, API layers, and evaluation harnesses. Integrate vector databases, semantic search, prompt orchestration, tool/function calling, memory, and context-aware reasoning into enterprise-grade solutions. Optimize prompts, inference pipelines, and evaluation frameworks; contribute to fine-tuning, alignment, and model optimization efforts. Independently design scalable, AI-native application systems - moving quickly from ambiguity to working, deployable prototypes and iterating through execution.

SAP Ecosystem Integration

Build agentic workflows on SAP AI Core and integrate LLM-based features into CAP /Fiori applications with strong coding standards and maintainability. Design and implement AI agents for enterprise domains - including formula explanation, computation assistance, and analytical workflows - using SAP AI Core and Python as the primary stack; CAP/Java as secondary. Contribute to the design of ontology-grounded agents that encode business rules, formula structures, and domain relationships as structured knowledge, enabling reliable agent reasoning beyond prompt-only approaches. Architect and deploy solutions on SAP BTP , with hands-on experience in multi-tenant SaaS patterns (MTX, service-manager, IAS/AMS). Knowledge of SAP Business Data Cloud (BDC) - including data products, HANA Data Lake, Delta Sharing, and the semantic layer - is a strong advantage .

Platform, LLMOps & Observability

Establish and implement LLMOps practices covering deployment, monitoring, observability, governance, and guardrails - with hands-on implementation, not just design. Instrument OTEL tracing