Lead the technical initiatives for AI data engineering, enabling scalable, high-performance data pipelines that power AI and machine learning applications. Design, optimize, and manage data infrastructure to support AI model training, feature engineering, and real-time inference. Collaborate closely with AI/ML engineers, data scientists, and platform teams to build the next generation of AI-driven products. Drive the design and development of robust data pipelines for AI/ML workloads, ensuring efficiency, scalability, and reliability. Design and implement data architectures that support AI model training, including feature stores, vector databases, and real-time streaming solutions. Develop high-performance pipelines that process structured, semi-structured, and unstructured data at scale. Implement best practices for data quality, lineage, security, and compliance. Develop automated data workflows and integrate with DevOps and...