Data Engineer - AI

Job Summary We are seeking a Data Engineer - AI to design and build scalable data pipelines that support AI/ML workloads and advanced analytics. This role focuses on developing robust data ingestion, transformation, and storage solutions, including support for Retrieval-Augmented Generation (RAG) systems. The ideal candidate will have strong experience in Python, SQL, Azure cloud technologies, and AI-driven data platforms. Key Responsibilities Design and build scalable data pipelines for ingestion, transformation, and processing of AI/ML data Develop and manage data storage solutions, including vector databases for RAG systems Implement data lineage, validation, and security controls to ensure data quality and compliance Clean, structure, and optimize complex datasets for analytical and operational use Support AI-driven analytics and data mapping initiatives Work extensively on Azure cloud platforms to deploy and manage data solutions Collaborate with cross-functional teams to enable AI and data-driven capabilities Optimize data workflows for performance, scalability, and reliability Required Qualifications 5+ years of strong experience in SQL and Python 5+ years of experience working in Azure cloud environments 5+ years of experience with AI-driven analytics or data platforms Familiarity with AI tools and frameworks such as vector databases (e.g., Pinecone, Milvus) and frameworks like Hugging Face or LangChain Strong expertise in ETL/ELT pipeline design and data warehousing Bachelor's degree in Computer Science or equivalent work experience Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) architectures Strong understanding of data governance, lineage, and security best practices Experience working with large-scale, enterprise data platforms Strong problem-solving and analytical skills