Data Engineer - LLM

Job Title: Data engineer for AI Ready data platforms Needs to work in PST time zone – remote is ok Role Summary We are seeking a senior Data Engineer to design and build enterprise-scale data platforms that enable AI/ML and agentic systems. This role focuses on engineering AI-ready data foundations—ensuring data is high-quality, governed, and optimized for advanced analytics and autonomous AI agents. Key Responsibilities Architect and build scalable, cloud-native data platforms supporting AI/ML and agent-based applicationsDesign pipelines to deliver AI-ready data (curated, labeled, contextualized, and feature-rich datasets)Develop robust data ingestion, transformation, and serving layers (batch + real-time)Enable semantic data models, knowledge graphs, and vector databases to power AI agents and LLMsImplement data quality, lineage, and governance frameworks to ensure trust and complianceCollaborate with AI/ML teams to support feature engineering, model training, and inference pipelinesOptimize data architectures for performance, scalability, and cost efficiencyMentor teams and establish best practices for AI-driven data engineering Required Skills & Experience 10+ years of experience in data engineering and platform architectureStrong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystemsFamiliarity with AI/ML data pipelines, feature stores, and model lifecycle supportExperience with LLM data pipelinesStrong understanding of data governance, metadata management, and security frameworks Preferred Qualifications Experience building data platforms for AI agents / agentic workflowsKnowledge of RAG (Retrieval Augmented Generation) architectures and semantic searchExposure to data mesh / domain-oriented data architecturesExperience in large-scale enterprise transformation programs