AI Architect - Data Engineering

Data Engineering AI Architect Must Have Qualifications • 13 years of experience in software engineering with 3 years in AI with strong architecture ownership • Strong expertise in data engineering, data quality, and data governance • Experience supporting AI use cases such as RAG, feature engineering, and model training • Proficiency with data platforms, cloud services, and distributed data systems • Solid understanding of QE practices related to data validation and testing Good to Have Skills • Experience with Generative BI or AI assisted analytics • Knowledge of metadata management, lineage tools, and data observability • Exposure to AI ethics and bias in data sets • Cloud data certifications Key Responsibilities Data Architecture for AI • Architect AI data foundations including ingestion, transformation, enrichment, and serving layers • Design data architectures supporting RAG, embeddings, feature stores, and training data pipelines • Define standards for data quality, lineage, vers...