\\\\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. We'relooking for an Expert AI Engineer to join our team, which is leading the charge to make SAP a truly data-driven company, who can design, build and bring to production, enterprise-grade AI solutions across processes in our operations. You will play a key role in developing scalable (Gen) AI and multi-agent systems and products,leveragingSAP's latest technologies, and applying strong software engineering skills combinedwith a deep understanding of data andMLOpspractices to ensure robust, maintainable, andhighly availablesystems. You will help empower all SAP employees by transforming trusted data into real-time insights and intelligent action, aligning with our goals of Process Simplification, Automation, and Business AI within the Corporate Functions & Analytics (CFA) domain, specifically in one of the following key areas: Finance, Spend, People Solutions and Analytics. \\\\The Role:\\\\ In this role, you will work closely with AI Product Owners, data scientists, and architects to translate AI concepts into reliable, production-ready systems.Youlldesign and implement AI solutions, setup and develop big datapipelinesand ensurehigh standardsof scalability,observabilityand compliance.Youllthrive in an agile, collaborative environment that values continuous learning, engineeringexcellenceand innovation, helping shape the next generation of enterprise AI solutions at SAP. \\\\Responsibilities:\\\\ \\+ Defines solution architecture and provides technical signoff, leads design/code reviews, and gates production readiness \\+ Embeds security, privacy, and Responsible AI controls; sets evaluation/observability strategy \\+ Publishes reference architectures and reusable assets; aligns with the CoE roadmap and spreads patterns across spokes \\+ Guide and mentor early talents \\+ Design, develop, and deploy innovative Generative AI and Agentic AI \\\\solutions\\\\ from proof of concept to full enterprise production. \\+ Build andmaintainrobust pipelines for LLM-based applications, including data processing and retrieval-augmented generation (RAG). \\+ Implement \\\\AgentOps\\\\ practices toautomate the lifecycle of AI agents and LLM applications. \\+ Collaborate with Product Owners to translate functional requirements into robust technical specifications. \\+ Ensure the reliability, observability, and compliance of deployed AI solutions through robust monitoring and tracing. \\+ Guide and mentor junior colleagues to foster AI engineering excellence across teams(SENIOR ONLY) \\\\What you bring:\\\\ \\+ Degree in computer science or a similar field. \\+ 8 Years in Software Engineering \\+ Proven hands-on experience in developing and deploying LLM applications. \\+ Advanced coding skills in Python (preferred) or Java, with a solid understanding of software engineering principles. \\+ Experience with backend frameworks (e.g.,FastAPI, Flask, Django) and building microservice architectures. \\+ Practical experience with generative AI frameworks like \\\\LangChain\\\\ . \\+ Familiarity withAgentOpstools such as \\\\LangSmith,\\\\ \\\\LangFuse, or\\\\ \\\\MLflow\\\\ for tracing and observability. \\+ Experience implementing CI/CD pipelines in cloud environments (e.g., Azure, AWS) using tools like Docker, Kubernetes, and GitHub Actions. \\+ Understanding of Agile,SAFemethodologies and collaborative engineering practices (SENIOR ONLY) \\+ Fluent English and a proactive, problem-solving mindset. \\\\Nice to have but not\\\\ \\\\a must:\\\\ \\+ Familiarity with SAP AI Core, SAP BTP. \\+ Experience with agile frameworks (e.g., Scrum,SAFe) and project management tools (e.g., Jira). \\+ Experience with Agentic AI Frameworks (e.g.,LangGraph,CrewAI, Microsoft Agent Framework) These skills are a plus. If youdonthave experience in all these areas,wellprovide the resources and training you need to become a leader incutting-edgeAI technologies. \\\\Meet your team:\\\\ CFA is central to making SAP a truly data-driven company. We are thought leaders,leveragingthe latest tech (including Business AI) to provide trusted data and real-time insights. Our global team is focused on process simplification and data democratization for all SAP employees. \\\\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\\\\ SAPs culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program () , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. \\\\AI Usage in the Recruitment Process\\\\ For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process () . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 446864 \\\| Work Area: Software-Design and Development \\\| Expected Travel: 0 - 10% \\\| Career Status: Professional \\\| Employment Type: Regular Full Time \\\| Additional Locations: #LI-Hybrid

The role requires 8 years of software engineering experience and proven hands-on experience in developing and deploying LLM applications. Advanced coding skills in Python or Java are necessary, along with a solid understanding of software engineering principles. Experience with backend frameworks like FastAPI, Flask, or Django, and building microservice architectures is expected. Practical experience with generative AI frameworks such as LangChain and familiarity with AgentOps tools like LangSmith, LangFuse, or MLflow for tracing and observability are also required. Experience implementing CI/CD pipelines in cloud environments using tools like Docker, Kubernetes, and GitHub Actions is needed. A degree in computer science or a similar field is a prerequisite.