{"id":102433,"date":"2026-08-03T09:58:03","date_gmt":"2026-08-03T02:58:03","guid":{"rendered":"https:\/\/generali.co.th\/?p=102433"},"modified":"2026-08-03T10:01:47","modified_gmt":"2026-08-03T03:01:47","slug":"ai-data-engineer","status":"publish","type":"post","link":"https:\/\/generali.co.th\/en\/job\/ai-data-engineer\/","title":{"rendered":"AI Data Engineer"},"content":{"rendered":"<div data-elementor-type=\"wp-post\" data-elementor-id=\"102433\" class=\"elementor elementor-102433\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4d8abd3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4d8abd3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a8f019e\" data-id=\"a8f019e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-85bafc8 elementor-widget elementor-widget-spacer\" data-id=\"85bafc8\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5458547 elementor-widget elementor-widget-spacer\" data-id=\"5458547\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4ceb457 elementor-widget elementor-widget-heading\" data-id=\"4ceb457\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">AI Data Engineer<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28886d0 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"28886d0\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c0d43a elementor-widget elementor-widget-heading\" data-id=\"6c0d43a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Responsibilities<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-802307d elementor-widget elementor-widget-text-editor\" data-id=\"802307d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>AI Data Architecture &#038; Platform Support<\/strong><\/p>\n<ul>\n    <li>Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to directly power the enterprise AI Foundation Platform.<\/li>\n    <li>Co-own the vector infrastructure alongside the AI Engineer Specialist, ensuring optimized embedding storage, indexing strategies, and fast vector search retrieval.<\/li>\n    <li>Build automated ETL\/ELT pipelines capable of transforming raw enterprise data into AI-ready formats (chunking, metadata tagging, and cleaning).<\/li>\n<\/ul>\n\n<p><strong>Data Governance, Metadata &#038; Cataloging<\/strong><\/p>\n<ul>\n    <li>Implement metadata pipelines for comprehensive data catalog and data dictionary services, including schema capture, lineage tracking, and audit logging.<\/li>\n    <li>Enforce data governance, access controls, and privacy compliance across all data stores used for training, fine-tuning, and RAG retrieval.<\/li>\n    <li>Design and maintain operational data lineage to ensure transparency and auditability of data flowing into production AI models.<\/li>\n<\/ul>\n\n<p><strong>Advanced AI Component Integration<\/strong><\/p>\n<ul>\n    <li>Develop and tune robust data ingestion pipelines for OCR, NLP processing, recommendation systems, and multi-modal AI inputs.<\/li>\n    <li>Optimize data tiering and caching strategies to reduce latency and infrastructure costs for live enterprise AI workloads.<\/li>\n    <li>Build secure, scalable data connectors linking legacy enterprise databases with modern LLM frameworks and autonomous agents.<\/li>\n<\/ul>\n\n<p><strong>Collaboration &#038; Data Excellence<\/strong><\/p>\n<ul>\n    <li>Partner directly with the AI Engineer Specialist to ensure seamless data delivery for real-world, high-concurrency production deployments.<\/li>\n    <li>Bridge traditional data engineering practices with modern MLOps, setting up automated data validation, quality checking, and drift detection at the data layer.<\/li>\n    <li>Provide data-level expertise during architecture reviews, ensuring scalable data design patterns across the entire AI project lifecycle.<\/li>\n<\/ul>\n\n<p><strong>Key Impacts<\/strong><\/p>\n<ul>\n    <li>Ensure high-quality, AI-ready data ingestion at scale, dramatically reducing the time-to-market for enterprise AI assets.<\/li>\n    <li>Establish a secure and compliant data foundation that guarantees enterprise data privacy during AI model interactions.<\/li>\n    <li>Eliminate data bottlenecks in real-world production environments, ensuring sub-second latency for enterprise RAG and search systems.<\/li>\n    <li>Transition traditional data warehouses and lakes into future-ready, graph- and vector-enabled AI data infrastructure.<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-003000a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"003000a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-84a0484\" data-id=\"84a0484\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c5f3ad5 elementor-widget elementor-widget-heading\" data-id=\"c5f3ad5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Qualification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30de9d0 elementor-widget elementor-widget-text-editor\" data-id=\"30de9d0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong>Education &amp; Experience<\/strong><\/p><ul><li>Master\u2019s or Bachelor\u2019s degree in Computer Engineering, Computer Science, Data Engineering, or a related technical field.<\/li><li>5+ years of experience in heavy-duty Data Engineering, Big Data, or Distributed Systems, with strong production experience in an AI\/ML context.<\/li><li>Proven track record of building large-scale data infrastructure supporting live, mission-critical applications.<\/li><\/ul><p><strong>Technical &amp; AI Data Framework Expertise<\/strong><\/p><ul><li>Deep experience in Python and SQL, alongside modern big data tools (e.g., Spark, Kafka, or cloud equivalents).<\/li><li>Hands-on expertise in Vector Databases and unstructured data processing.<\/li><li>Strong understanding of data chunking strategies, text extraction (OCR\/NLP pipelines), and metadata orchestration.<\/li><li>Familiarity with cloud data platforms (AWS\/Azure\/GCP) including managed data lakes, data warehouses, and cloud-native security\/encryption.<\/li><li>Real-world experience implementing data catalogs, schema evolution, and automated data quality monitoring.<\/li><\/ul><p><strong>Leadership &amp; Soft Skills<\/strong><\/p><ul><li>Excellent technical communication skills to align data pipeline designs with AI model engineering requirements.<\/li><li>Strong analytical and problem-solving mindset, comfortable handling noisy, unstructured enterprise data under tight deadlines.<\/li><li>Good verbal and written English communication skills for vendor engagement and cross-functional team collaboration.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7143839 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"7143839\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/generali.co.th\/en\/jobs\/jobs-form\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">APPLY<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-30c03ad elementor-widget elementor-widget-spacer\" data-id=\"30c03ad\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Responsibilities AI Data Architecture &#038; Platform Support Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to directly power the enterprise AI Foundation Platform. Co-own the vector infrastructure alongside the AI Engineer Specialist, ensuring optimized embedding storage, indexing strategies, and fast vector search retrieval. Build automated ETL\/ELT pipelines capable of transforming raw enterprise [&hellip;]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[103],"tags":[],"class_list":["post-102433","post","type-post","status-publish","format-standard","hentry","category-job"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Data Engineer | Global Standard Insurance Company in Thailand | GENERALI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/generali.co.th\/en\/job\/ai-data-engineer\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Data Engineer | Global Standard Insurance Company in Thailand | GENERALI\" \/>\n<meta property=\"og:description\" content=\"Responsibilities AI Data Architecture &#038; Platform Support Architect and optimize high-throughput data pipelines and unstructured data processing frameworks to directly power the enterprise AI Foundation Platform. Co-own the vector infrastructure alongside the AI Engineer Specialist, ensuring optimized embedding storage, indexing strategies, and fast vector search retrieval. 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