Senior AI Architect, Semantic Layer & Algorithm Ar

Requisitos

• 7+ years of experience in data architecture, platform architecture, AI/ML infrastructure, data engineering, or related fields
• Proven experience designing enterprise-scale semantic layers, data models, schema governance frameworks, or data contract architectures
• Strong understanding of modern lakehouse architectures, medallion design patterns, metadata management, and data governance principles
• Demonstrated experience architecting machine learning and AI platforms, including feature stores, model lifecycle management, lineage, an..
• Experience establishing technical standards that support analytics, machine learning, and AI-driven applications at scale

Desejáveis

• Experience implementing or governing enterprise semantic layers and business glossaries
• Familiarity with AI governance, model governance, and responsible AI frameworks
• Experience designing architecture for graph analytics, forecasting, optimization, or decision-support systems
• Exposure to LLM-enabled platform capabilities such as metadata generation, semantic modeling, catalog enrichment, or governance automation