Chief AI Scientist and Architect

We help the world run better

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!

 

What you’ll do:

The Business AI team within the Office of the CEO is a technical center of excellence delivering core AI capabilities for consumption by product teams and organizations across all of SAP. We build the latest in AI/ML technologies, including applications leveraging large language models as well as AI/ML features for the business applications space.

 

The team seeks to make all business applications intelligent. We build out new lighthouse applications using AI/ML, bring these capabilities into existing applications, and empower all of SAP, customers, and partners with ML services on SAP’s cloud platform.

 

As the Chief AI Scientist & Architect within the team, you will develop and drive the AI/ML architecture strategy to integrate Generative AI capabilities seamlessly into SAP’s ecosystem, such as LLM Agents, RAG patterns & orchestration. You will also identify and evaluate emerging technologies and methodologies to enhance our AI/ML solutions, as well as lead the design and implementation of such scalable patterns.

 

You will act as a thought leader and subject matter expert in Generative AI within SAP and work closely with cross-functional teams including product management, engineering, data science, and research to align AI initiatives with business goals.

 

What you bring:

Required:

• Minimum of 10+ years of post-graduate, international professional experience in research and/or software development.
• Extensive knowledge and hands-on experience with Generative AI and large language models.
• Demonstrated experience architecting and deploying large-scale cloud offerings, with a deep understanding of AI, Machine Learning, and Software Engineering principles.
• Strong proficiency in programming languages such as Python, R, Java, or Scala, and experience with data science libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent communication skills with the ability to effectively convey complex technical concepts to non-technical stakeholders.
• Expertise in designing and implementing machine learning pipelines, including data preprocessing, feature engineering, model training, and evaluation.
• Experience with distributed computing and big data technologies (e.g., Hadoop, Spark) to handle large datasets.
• Knowledge of cloud platforms and services (e.g., AWS, Google Cloud, Azure) and experience deploying machine learning models in production environments.
• Strong understanding of data governance, privacy, and security considerations in AI/ML projects.

Preferred:

• Experience in delivering AI/ML solutions in the business applications space, particularly within enterprise software contexts.
• Strong understanding of SAP’s ecosystem and cloud platform.
• Experience with full lifecycle of AI/ML projects, from ideation and prototype development to production deployment and scaling.
• Published research in top-tier AI/ML conferences or journals.