{"schemaVersion":"jobsearcher.job.v1","id":"1ddb4df381ef709e938cf639","url":"https://jobsearcher.com/jobs/1ddb4df381ef709e938cf639","canonicalUrl":"https://jobsearcher.com/jobs/1ddb4df381ef709e938cf639","title":"Data Engineer- AI","description":"Job SummaryWe 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.Sr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms ResponsibilitiesArchitect 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 Qualifications10+ 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 QualificationsExperience 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","company":"System Soft Technologies","rawCompany":"system soft technologies","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-06-19T09:04:00.033Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer- AI","description":"Job SummaryWe 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.Sr. Data Engineer - AI-ready-Enterprise-Scale Data Platforms ResponsibilitiesArchitect 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 Qualifications10+ 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 QualificationsExperience 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","datePosted":"2026-06-19T09:04:00.033Z","dateModified":"2026-06-19T09:04:00.033Z","hiringOrganization":{"@type":"Organization","name":"System Soft Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1ddb4df381ef709e938cf639"},"url":"https://jobsearcher.com/jobs/1ddb4df381ef709e938cf639"}}