🇪🇺 Deutschland
Permanent
23 Oct 2026
🏢 SAP IT Business Systemehttps://static.whatjobs.com/static/ajCore/img/jobPosting/companyLogo/whatJobs_ob_default.png
Compensation: EUR 69.4 - EUR 122.2 - yearly Job Description What you'll bring: Solid foundational skills in software engineering, with proficiency in Python and hands-on experience in at least one cloud-native development environment. Strong experience of AI and ML concepts, including familiarity with large language models, machine learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn), and API-based AI services. Proficiency in system design for scale, resiliency, and fault tolerance is required. Experience with data pipelines, MLOps concepts, or AI/ML model integration in application contexts. Ability to work collaboratively within a team, follow engineering standards, and take ownership of assigned tasks with a strong sense of accountability. Curiosity, adaptability, and a growth mindset — you actively seek feedback, learn from experience, and are motivated to grow quickly in a high-pace environment. Good understanding of cloud platforms (e.g. AWS, Azure, GCP) and familiarity with tools such as Git, Docker, and CI/CD pipelines. Strong communication skills and the ability to work effectively within cross-functional teams and customer-facing settings. An interest in or early exposure to SAP AI technologies such as SAP AI Core or SAP Business Technology Platform (BTP) is a plus. What you'll build Join our growing Industry AI team in Munich and help shape the future of Autonomous Asset Management, transforming how asset-intensive industries manage, maintain, and optimize their critical assets through AI. You will build innovative, scalable AI solutions that enable smarter decisions, more efficient operations, and greater autonomy across the asset lifecycle. Build next-generation Industry AI solutionsthat combine agentic AI, intelligent automation, and advanced optimization to address complex asset management challenges. Develop reusable AI capabilities and templatesthat provide a scalable foundation for innovation across customers and industries. Take end-to-end technical ownership, from solution design and engineering to deployment, continuous improvement, and long-term evolution. Translate industry expertise into intelligent solutions, connecting enterprise data, business context, and AI-driven decision-making to deliver measurable customer value. Drive innovation from concept to reality, collaborating with product management, FDE delivery teams, and industry experts to turn emerging AI technologies into enterprise-ready solutions. You will have the opportunity to work at the forefront of enterprise-grade Industry AI, take significant technical ownership, and help define how autonomous asset management becomes a reality for leading global enterprises. In this role, you will: You’ll independently design and architect scalable, AI-native application systems and components, including advanced RAG pipelines and multi-agent workflows. Evaluation and benchmarking frameworks to measure AI system quality, reliability, and performance are things you’ll build and own. You’ll optimize latency, throughput, and cost efficiency across systems. Observability and SRE practices, including monitoring, alerting, incident response, and root cause analysis, are areas you’ll implement and improve. You’ll partner with platform, data, and AI teams to design robust, production-ready solutions and improve system integration. System scalability, resilience, and maintainability are areas you’ll continuously work to strengthen. Work within customer projects and cross-functional delivery teams, learning to understand business processes, technical landscapes, and customer needs. Support prototyping, testing, and iteration of AI solutions in customer environments, adapting to feedback and evolving requirements. Participate in code reviews, technical discussions, and design sessions, actively developing your engineering skills and knowledge. Assist with monitoring, troubleshooting, and improving deployed solutions to ensure reliability and operational stability. Contribute to documentation, reusable components, and engineering best practices to support team productivity and knowledge sharing. Demonstrate a proactive learning mindset — staying current with AI/ML developments and applying new techniques and tools to improve solution quality. Where you belong: You will be part of a growing Industry AI and expert team serving customers across the Americas, Europe, and Asia. We invest in the growth of our people at every level — and this role is built for someone who wants to accelerate fast. You will be surrounded by experienced engineers and AI practitioners who are committed to helping you develop. You will thrive here if you are curious, hardworking, and motivated by the opportunity to build real AI solutions for real enterprise customers — from day one. Skills used in this role: Agentic AI Day-to-Day Practice AI Adoption Capability AI Output Quality Assurance Context Engineering AI-Assisted Automation and Prototyping Learning Agility Collaboration Complex Problem Solving Creative Thinking Effective Communication Agentic Engineering Agentic Orchestration AI-Assisted Engineering Cloud Architecture Semantic Retrieval Additional Information Requisition ID:REF2942E Company: SAP SE Expected Travel: 0 - 10% Employment Type: Regular Full Time or Part Time Additional Locations: About SAPWith a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. We win with inclusionSAP’s 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. AI Usage in the Recruitment ProcessFor 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. #J-18808-Ljbffr