Senior AI Engineer

What you`ll do 

We are looking for a Senior AI Engineer who can drive (gen)AI development and lead our engineering scrum teams as technical code and architecture owner. The candidate will have profound skills in Data Science, Data Engineering and Software Engineering for our IT agile team, with an entrepreneurial spirit to join our diverse team and work on innovation projects.

The Role

In this role, you will drive internal AI adoption across different Lines of Business (LOBs) within the company. You will collaborate with other engineers to develop AI services, taking projects from proof of concept to full production deployment. This position involves close partnership with AI Platform engineers and stakeholders from various departments. You will work with cross-functional teams to contribute to our evolving AI-first tech stack, address diverse and rapidly changing challenges, and thrive in a fast-paced environment that offers continuous learning. Additionally, you will help define and promote best practices for AI engineering excellence throughout the organization.

Responsibilities

• Lead and develop AI services from PoC to Production
• Setup and develop new Big Data pipelines, to productize data ETL workloads for different AI services.
• Develop GenAI/AgenticAI solution designs
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Productionize AI PoCs with good software engineering by incorporating CI/CD pipelines, deployment and MLOps/LLMOps.
• Take ownership over AI services in development and production
• Guide and mentor junior colleagues and evolve their AI engineering skillset

What you bring

• Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields
• Vast coding knowledge in Python
• Knowledge of Distributed Computing Systems for Big Data Engineering such as Databricks (PySpark/Scala) is beneficial
• Exceptional understanding and coding experience of genAI/ agenticAI frameworks such as crewAI / langgraph etc.
• Proven hands-on expertise in code-based LLM consumption from platforms such as OpenAI or Huggingface
• Track record of using Python backend development frameworks such as e.g. Flask, Django, Quart or FastAPI
• Vast general software engineering best-practices (e.g. Object-Oriented Programming) and experience working in a scrum-like software engineering unit.
• Productization technologies and tools such as Docker, K8s, GitHub, VSCode, Linux etc.
• CI/CD and ML Ops frameworks such as Jenkins, GitHub Actions, MLFlow, etc.
• Cloud-deployment offerings such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions or similar in AWS / GCP
• Some form of code ownership and scrum team leadership experience
• Curiosity to learn about different AI applications and new technologies in general
• Excellent spoken and written knowledge of English as well as collaborative mindset
• Experience with SAP AI offerings e.g. AI Core, AI Business Services, Joule etc. is a plus
• Understanding of Agile / Scaled Agile (SAFe) methodologies is a plus

Meet your team

SAP Intelligent Enterprise Solutions (IES) department has the purpose to “Deliver and Run the Intelligent Enterprise”. IES is SAP’s technology backbone and most compelling reference customer, and as such, we influence product development and strategy, with our customer experience at heart.

Within IES, our “Artificial Intelligence CoE” team has the purpose to help SAP to transform into a data-driven intelligent enterprise, by empowering SAP employees to simplify processes, leveraging AI technologies. Our vision is to be an advocate and enabler of best-in-class AI within SAP. Our mission is to deliver business value through AI in SAP’s processes and be recognized as AI Thought Leader in the market.

We implement both standard SAP AI and custom built solutions across all LoBs. We are customer zero of SAP standard AI solutions and provide continuous feedback to standard development for product improvement. We provide an AI Platform and Infrastructure to entire SAP AI practitioners for building their own ML solutions in the entire ML lifecycle following MLOps methodology. Furthermore, we build and operate a central chatbot platform based on SAP Conversational AI with the aim to provide capabilities from all lines of business through a single digital assistant. We also build those capabilities (individual chatbots) as well as support other teams in building further ones.

Within our team, we practice a trust-based working model with emphasis on great collaboration, agility and transparency. We offer a lot of room for creativity and freedom to experiment. Our operating model is based on autonomous/agile team concept (SAFe) and SAP New Work practice where we put people at the center of everything we do.