Data Engineer with AI

Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. No third-party agencies, recruiters, or staffing firms will be considered for this position. 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 applications • Design 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 LLMs • Implement data quality, lineage, and governance frameworks to ensure trust and compliance • Collaborate with AI/ML teams to support feature engineering, model training, and inference pipelines • Optimize data architectures for performance, scalability, and cost efficiency • Mentor teams and establish best practices for AI-driven data engineering Required Skills & Experience • 10+ years of experience in data engineering and platform architecture • Strong expertise in cloud platforms (Azure, AWS, or GCP) and modern data ecosystems • Familiarity with AI/ML data pipelines, feature stores, and model lifecycle support • Experience with LLM data pipelines • Strong understanding of data governance, metadata management, and security frameworks Preferred Qualifications • Experience building data platforms for AI agents / agentic workflows • Knowledge of RAG (Retrieval Augmented Generation) architectures and semantic search • Exposure to data mesh / domain-oriented data architectures • Experience in large-scale enterprise transformation programs