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Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work.
We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!
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.
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.
The Role :
- Unique opportunity to lead the development of a Business AI Scenarios on SAP business data embedded in a diverse business context.
- Technical lead for the project team of AI Scientists and Data Engineers, providing strategic guidance and overseeing project execution.
- Design a representation suitable for Self-Supervised Learning on data across the entire SAP application and process portfolio.
- Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Model.
- Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Model / LLMs aligns with strategic company objectives of embedding AI into our product portfolio.
- Maintain up-to-date knowledge of AI and Data Engineering trends and apply this expertise to improve team performance and product quality.
- Establish and drive research collaborations with academic and commercial partners.
- Contribute to thought leadership in a revolutionary new data modality for Foundation Models / LLMs and Generative AI.
What you bring :
- PhD or master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
- Extensive experience with Foundation Models / LLMs as well as Machine Learning
- Professional experience with Machine Learning on structured data such as in the ERP or CRM domain is preferred.
- Deep understanding of issues and opportunities of applying Generative AI in a business context.
- Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
- Exceptional teamwork abilities, strong leadership and strategic thinking skills.
- Substantial publication record related to LLMs, Deep Learning and / or traditional ML.
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