Jobs at SAP

Architect and lead large-scale machine learning systems, including LLM infrastructure and production deployments. Define ML architecture, MLOps, governance, observability, security, performance, and cost standards. Partner with stakeholders to translate customer needs into scalable solutions, influence AI strategy, mentor engineers, and guide adoption of modern AI techniques such as RAG, vector search, prompt engineering, and agent workflows.

Define and drive AI use cases for retail, consumer products, and wholesale distribution. Translate customer needs into product priorities, lead workshops and feasibility assessments, guide AI assistants and agents from concept through launch, and align projects with long-term product roadmaps. Partner with engineering, design, data science, sales, and customer success to deliver scalable capabilities and measurable business outcomes.

Leads the global SAP SuccessFactors engineering organization of 1,000+ engineers, owning engineering strategy, budgets, execution, and AI-native Autonomous HCM delivery. Partners with product and executive leadership to define roadmaps, scale enterprise AI capabilities, modernize engineering practices, and maintain platform extensibility. Requires deep AI/ML, cloud, data platform, enterprise SaaS, and large-scale engineering leadership experience, along with strong product judgment and external communication skills.

Designs, develops, tests, deploys, and optimizes large-scale machine learning systems and algorithms. The role translates customer and business requirements into scalable, robust data-driven solutions, processes massive datasets, and delivers production insights. Responsibilities include researching emerging machine learning methods, collaborating cross-functionally, developing testing strategies, and integrating new techniques into system architecture.

Develop cloud-native SAP applications using CAP, RAP, ABAP Cloud, SAPUI5, and SAP BTP. Responsibilities include data modeling, Fiori development, event-driven integrations, AI workflow implementation, distributed data pipelines, infrastructure automation, security, data governance, proof-of-concepts, database replication, and performance benchmarking across Kyma and Cloud Foundry environments.

Designs user-centered software experiences by translating business and user needs into flows, wireframes, prototypes, and accessible interfaces. Evaluates interactions across web, multimedia, voice, and conversational platforms; develops user profiles and design strategies; creates usability specifications; and collaborates with product management and engineering teams. The role requires expertise in software UX, design systems, Figma, AI user experience design, design methodologies, presentations, workshops, and critiques.

Develop and maintain SAP product features through requirements analysis, design, coding, testing, integration, quality assurance, troubleshooting, and maintenance. The role involves Java-based development, APIs, cloud and container technologies, CI/CD automation, performance monitoring, SAP BTP and SAP BDC integration, and collaboration with development teams.