Ai Data Engineering Lead

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Description

Our client is seeking an experienced AI Data Engineering Lead to design, build, and lead data engineering solutions that support Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) initiatives. Responsibilities Lead the design and development of scalable data platforms and pipelines to support AI, ML, analytics, and GenAI applications. Build and maintain data pipelines for structured, semi-structured, and unstructured data from enterprise systems. Develop batch and real-time data processing solutions to support AI model training, inference, and evaluation. Design data ingestion and processing workflows for GenAI applications, including Retrieval-Augmented Generation (RAG), document processing, embedding generation, and vector search. Integrate enterprise data platforms with AI services, search engines, vector databases, and other relevant technologies. Establish data engineering standards, reusable frameworks, automated testing, CI/CD, and DataOps practices to improve development efficiency and solution quality. Implement data quality checks, data lineage, metadata management, monitoring, and error-handling mechanisms to ensure data accuracy and reliability. Ensure data engineering solutions comply with data governance, information security, privacy, and regulatory requirements. Work with security, risk, compliance, and data governance teams to implement appropriate access controls and safeguards for sensitive data. Lead and mentor data engineers, c

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