Hiring: AI Data Engineer Company: Cinteot Inc. Location: Newark, NJ Job Posted Time: 2026-09-15 15:02:40 Target Skills & Keywords : AWS, Azure, Data Pipeline, Databricks, HIPAA, Machine Learning, RAG, SOC 2, Snowflake About the job Required Skills: •Design, build, and maintain data pipelines that ingest, transform, and curate structured and unstructured data for AI use cases. •Prepare RAG‑ready datasets by applying metadata enrichment, chunking, normalization, and document parsing patterns aligned to platform standards. •Partner with source system teams and domain SMEs to understand data semantics and ensure accurate representation for AI consumption. •Create and maintain embedding pipelines, including generation, refresh, and lifecycle management. •Own vector index maintenance, including re‑indexing strategies, performance tuning, and cleanup of stale or unused embeddings. •Support knowledge grounding for AI agents by ensuring source attribution, consistency, and traceability. •Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and reliability of AI datasets. •Ensure all AI data pipelines comply with enterprise data governance, privacy, and information management policies, including support for regulated and sensitive data use cases. Qualifications: •Bachelor’s degree in computer science, Engineering, Data Science, or a related technical discipline OR equivalent combination of education and relevant experience. •Demonstrated experience designing and operating production-grade data pipelines in an enterprise environment. •Solid functional working knowledge of embeddings, vector databases, and retrieval patterns used in modern AI and GenAI solutions. •In-depth knowledge of data quality, lineage, and governance concepts. •Professional certification(s) in area of expertise a plus •AWS Machine Learning Specialty, Azure AI Engineer Associate, or equivalent cloud certifications. •Strong hands-on experience designing and operating data pipelines for analytics, ML, or AI workloads. •Knowledge of embeddings, vector databases, and retrieval patterns used in RAG or knowledge-based AI systems. •In-depth knowledge of data quality, lineage, and governance concepts in enterprise environments. •Operational familiarity with cloud-native data services and AI platforms commonly used for enterprise AI enablement. Compensation: •Blue Cross Medical, Delta Dental, Vision, Life Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!