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:
At SAP, we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains.
SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule, Generative AI Hub, AI Core, and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAP's foundation models, both our own tabular business models and building on top of partner LLMs, and generative AI technologies.
The Role:
· Play a key role in building enterprise AI solutions, embedded within SAP's rich and diverse business data @context.
· Solve complex problems using cutting-edge LLMs and Agentic AI, focusing on in-@context learning, fine-tuning or pre-train models.
· Apply expertise in data pre-processing, Information Retrieval, Retrieval-Augmented Generation (RAG), and Agentic AI to improve multimodal question answering.
· Stay on top of the latest advancements in LLMs, Foundation Models, and Machine Learning; leverage this knowledge to enhance models for improving product quality.
· Define ML tasks, develop and implement models or hypotheses, and present experiments and results effectively that address real-world enterprise challenges.
· Collaborate cross-functionally with other teams to align AI capabilities and models.
· Contribute to innovation in new data modalities for Generative AI applications and foundation models.
What you bring:
· Bachelor's with minimum 2 years of relevant experience or master's degree in computer science, Artificial Intelligence, or a related field.
· 1 years of relevant experience in Machine Learning, including at least 1 year working with LLMs.
· Hands-on experience with LLMs, fine-tuning, or deep learning.
· Proficiency in Python, with practical experience using ML frameworks such as PyTorch, TensorFlow, or similar.
· Experience with agentic AI frameworks (e.g., LangGraph or equivalent).
· Ability to apply AI systems effectively and a strong motivation to continuously grow technical skills in fine-tuning and scalable ML solutions.
Meet your team:
SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.
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 (https://one.int.sap/me@sap/jobs\and\hiring/employee_referral/region/0000/lang/en) , 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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 106900 - 229400(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits (https://www.sapnorthamericabenefits.com/en/public/welcome) .
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 (https://jobs.sap.com/content/Ethical\usage\of\AI\in\the\recruiting\process/?locale=en\US) .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 448484 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
