AI​/ML Scientist - Generative AI

SAP AI Product Engineering Engineer

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, Joule for Consultant, 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, Tensor Flow, or similar.
• Experience with agentic AI frameworks (e.g., Lang Graph 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.

Compensation Range Transparency: 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 annual combined range for this position is 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.