AI Engineer at Hyperspace Data and Intelligence at SAP

Design and build top quality AI solutions enhancing cloud development processes. Design, develop, and deploy AI and generative AI services from proof of concept to production. Build and maintain data pipelines and model deployment workflows. Implement CI/CD and MLOps practices for automated model training and deployment. Develop and integrate multi-agent AI and LLM-based products and solutions. Ensure reliability, observability, and compliance of deployed AI systems. Mentor junior colleagues on AI engineering excellence.

As part of the new Hyperspace AI Accelerators team, you'll help develop next-generation agentic AI solutions and support how Hyperspace brings AI into engineering roles across SAP.

Requirements:

Computer science degree or equivalent

Advanced Python (preferred) or Java skills with software engineering fundamentals

Backend frameworks: FastAPI, Flask, Django

Containerization/orchestration: Docker, Kubernetes, GitHub Actions, MLFlow

CI/CD and MLOps in cloud (Azure ML, Databricks, AWS)

Data ETL, APIs, and model deployment workflows

Distributed systems and big data platform knowledge

Agile/SAFe methodologies

Fluent English

Nice-to-have:

Experience with multi-agent or generative AI frameworks (e.g., LangChain, CrewAI)

SAP AI Core and SAP BTP familiarity