Data and Applied Scientist

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 Build

• You will work with a team of highly technical and motivated developers.
• Collaborate and work with teams spread across geographies and time zones.
• You will work on the entire lifecycle of development projects, both customer-specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance, and, in the case of cloud services, operation of customer-specific solutions.
• Implement backlogs for functional and non-functional requirements.
• Develop and deploy efficient AI/ML modules that drive complex business applications.
• Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
• You will work on multiple topics and technologies with adequate enablement.

What You Bring Skills and Competencies:

• 4 to 7 years of software engineering experience as a data scientist, ideally with backend or AI/ML exposure
• Strong analytical and problem-solving skills.
• Proficiency in Python, JavaScript/Typescript.
• Familiarity with LLMs (Large Language Models) like GPT, Llama, LangChain, LlamaIndex,
• Measure agent performance in terms of task success, efficiency, and trustworthiness.
• Design structured prompts, templates, and orchestration flows (e.g., POML or LangChain).
• Work on Knowledge Graph Initiatives
• Hallucination reduction using techniques like GraphRAG
• Test robustness against edge cases, hallucinations, or prompt injections.
• Proficient in any one area of AI/ML streams - Predictive analytics, Text Analytics/NLP, Machine Translation, generative AI
• Knowledge of Git, GitHub/GitLab, CI/CD pipelines (Jenkins, GitHub Actions).
• Experience with LangChain, AutoGen, CrewAI, or similar.
• Understanding of multi-agent systems (MAS).
• Ability to design effective prompts for LLMs.
• Experience with RAG (Retrieval-Augmented Generation).
• Knowledge of planning, decision-making, and memory in agents.
• Formulating machine learning approaches while paying attention to business metrics, designing features from the rich data available from many sources, training, evaluating, and deploying models.
• Excellent verbal, written, and presentation communication skills.
• Experience with cloud platforms and applications will be an added advantage.

Expectations And Tasks

• Work with industry experts and technology experts to translate our customers’ business needs into machine learning, optimization, or mathematical solutions.
• Responsible for testing and evaluating agents, machine learning methods, and maintaining a high level of quality.
• Prototype agents that can reason, plan, and take actions across tools and APIs.
• Develop memory and context strategies for long-running or multi-step tasks.
• Implement LLM-based solutions and agentic flow in collaboration with our Architects/Data scientists.
• Driving adoption of newer cutting-edge technology within the organization through knowledge sessions, adoption of the same in the solution, etc
• Work closely with other team members, SAP development teams, external partners, and customer teams to ensure successful project delivery.
• Enhance existing skills continually and seek newer areas for personal development.

Where You Belong SAP Private Cloud, a cross-technology and Architecture unit that is driving technology, empowering innovations in business and people. It is part of the global organization Private Cloud dedicated to delivering innovative solutions to meet our customers’ unique business process needs.

• You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
• We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
• Enjoy the benefits of working in a diverse, international environment, with opportunities to collaborate with colleagues from around the globe.

#SAPInternalT2

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 SAP’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: Careers@sap.com.

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: 446330 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: