\\\\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\\\\ As a AI Development - Senior Developer, you will build and deliver enterprise-ready Generative AI and Agentic AI applications for the Sales Engagement & Planning Solutions IND team which is part of the Demand Generation vertical within the Customer & Partner organization. \\+ Translate business and architectural requirements into production-ready AI application components and services \\+ Build and optimize RAG pipelines, retrieval workflows, and hybrid AI solutions for enterprise scenarios \\+ Design and develop AI-powered applications leveraging Large Language Models (LLMs), AI Agents, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol \\+ Develop and integrate AI services with SAP BTP, AI Core, Joule, SAP HANA and SAP integration services \\+ Ensure Responsible AI principles, data privacy, security, and compliance requirements are implemented in delivered solutions \\+ Optimize AI applications for scalability, performance, reliability, and cost efficiency \\+ Collaborate with global teams to integrate AI capabilities into existing applications and workflows \\+ Continuously evaluate emerging tools and frameworks to improve development productivity and solution quality \\\\WHAT YOU BRING\\\\ \\+ Bachelors or Masters degree in Computer Science, Data Science, or a related discipline \\+ Over 10 years of IT Experience \\+ Strong experience building Generative AI applications, including RAG pipelines, agent workflows \\+ Expertise in Prompt Engineering \\+ Experience implementing agentic workflows, tool integration, and multi-agent collaboration patterns \\+ Hands-on experience with frameworks such as LangChain, LangGraph or equivalent \\+ Experience working with vector databases, semantic retrieval, and knowledge graph integrations \\+ Experience designing and implementing Business AI solutions \\+ Experience developing cloud-native applications and services \\+ Strong proficiency in Python \\\\WHERE YOU BELONG\\\\ Join a collaborative, mentorship-rich team defined by trust and open dialogue. Here, you won't just write code; youll partner closely with Product Managers, Product Owners, Architects and UX Designers to actively shape our Sales Engagement and Planning solutions. We are looking for pragmatic innovators eager to master multi-cloud stacks and pioneer Generative AI and Agentic AI applications alongside a supportive crew. This is a high-impact environment where curiosity thrives. You will balance idea exploration with hands-on product delivery, ensuring your work drives real business value. Whether you aim to deepen your architectural skills or refine your leadership, we provide a clear runway for professional growth. \\\\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: 447264 \\\| 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 over 10 years of IT experience and a Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline. Strong experience is needed in building Generative AI applications, including RAG pipelines and agent workflows. Expertise in Prompt Engineering and implementing agentic workflows, tool integration, and multi-agent collaboration patterns is essential. Hands-on experience with frameworks like LangChain or LangGraph, along with experience in vector databases, semantic retrieval, and knowledge graph integrations, is also required. Proficiency in Python and experience developing cloud-native applications are necessary.