\\\\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 do:\\\\ Summary: We are looking for a (Junior) AI Engineer who can design, build and bring to production, enterprise-grade AI solutions across processes in Go-to-Market operations. You will play a key role in developing scalable (gen) AI and multi-agent systems and products that drive measurable business impact. The ideal candidate combines strong software engineering skills, deep understanding of data and MLOps practices, and hands-on experience with modern AI frameworks. 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. Youll design and implement AI solutions, setup and develop big data pipelines and ensure high standards of scalability, observability and compliance. Youll thrive in an agile, collaborative environment that values continuous learning, engineering excellence and innovation, helping shape the next generation of enterprise AI solutions at SAP. Responsibilities: \\+ Design, develop and deploy AI and (gen)AI services and solutions from proof of concept to full enterprise production \\+ Build and maintain data pipelines and model deployment workflows for scalable, secure AI systems \\+ Implement CI/CD and MLOps practices to automate model training, testing and deployment \\+ Collaborate with Product Owners and data scientists to translate requirements into technical specifications \\+ Develop and integrate multi-agent AI and LLM-based products and solutions \\+ Ensure reliability, observability and compliance of deployed AI solutions \\\\What you bring:\\\\ \\+ Degree in computer science or a similar field \\+ Advanced coding skills in Python (preferred) or Java, with solid understanding of software engineering principles \\+ Experience with backend frameworks (FastAPI, Flask, Django) and microservice architectures \\+ Familiarity with containerization and orchestration tools (Docker, Kubernetes, GitHub Actions, MLFlow) \\+ Experience implementing CI/CD and MLOps pipelines in cloud environments (Azure ML, Databricks, AWS) \\+ Hands-on experience with data ETL, APIs and model deployment workflows \\+ Knowledge of distributed systems and data platforms for big data \\+ Fluent English and a proactive, problem solving mindset Nice to have but not a must: \\+ Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI) \\+ Familiarity with SAP AI Core, SAP BTP \\+ Experience with agile frameworks (e.g., Scrum, SAFe) and project management tools (e.g., Jira) \\+ Understanding of Agile, SAFe methodologies and collaborative engineering practices These skills are a plus. If you dont have experience in all these areas, well provide the resources and training you need to become a leader in cutting-edge AI technologies. \\\\Meet your team:\\\\ Join the Cross Engineering, Experience & Excellence (CE3) team at SAP, where we are shaping a seamless, intelligent, and fully integrated experience across the lines of business. Our mission is to build Agentic AI solutions that transform complex business challenges to strengthen organizational synergy across all layers of SAPs ecosystem. As we enter a new era of intelligent transformation, CE3 is pioneering a focused strategy to accelerate and scale Agentic AI across SAPs IT landscape. This strategy centers on enabling autonomous, goaloriented AI agents that can proactively interpret intent, orchestrate multistep workflows, and deliver outcomes with minimal human intervention. To achieve this, we are investing in a unified Agentic AI platform built on reusable capabilitiescontextual reasoning engines, safe action frameworks, enterprisegrade guardrails, and robust integration patterns across SAP systems. Our approach emphasizes rapid experimentation, crossteam enablement, and responsible scaling. We are leveraging shared architectural standards, ethical governance, co-innovation workstreams, and reference implementations that allow engineering teams across SAP to adopt Agentic AI faster and more consistently. By coupling this with SAPs trusted data foundation and domain expertise, we empower every solution area to unlock higher levels of automation, personalization, and enterprise productivity. In CE3, you will play a key role in shaping this next wave of humanAI collaborationwhere intelligent agents augment every workflow, elevate user experience, and help our internal customers achieve more with confidence and clarity. \\\\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: 440069 \\\| Work Area: Software-Design and Development \\\| Expected Travel: 0 - 10% \\\| Career Status: Graduate \\\| Employment Type: Regular Full Time \\\| Additional Locations: #LI-Hybrid

The role requires a degree in computer science or a similar field. Advanced coding skills in Python or Java are necessary, along with a solid understanding of software engineering principles. Experience with backend frameworks such as FastAPI, Flask, and Django, and microservice architectures is expected. Familiarity with containerization and orchestration tools like Docker, Kubernetes, GitHub Actions, and MLFlow is also required. The candidate should have experience implementing CI/CD and MLOps pipelines in cloud environments, including Azure ML, Databricks, and AWS. Hands-on experience with data ETL, APIs, and model deployment workflows, as well as knowledge of distributed systems and data platforms for big data, are essential. Fluent English and a proactive, problem-solving mindset are also important qualifications.