SAP systems are deeply embedded, business‑critical, and designed to change slowly. Yet while the data is reliable by design, its business meaning is often implicit and difficult for AI systems to interpret, which prevents AI from reasoning over it reliably, safely, and at scale. * Establishing architectural patterns that allow semantic assets, data pipelines, and AI‑facing interfaces to evolve without fragmentation. * 8+ years in software development, with meaningful experience designing and building data-intensive systems * Demonstrated ability to design scalable, maintainable systems and make sound trade-offs under uncertainty
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