AI & Data Integration Engineer

· Design, develop, and maintain Snowflake-based data integration pipelines for structured and unstructured data. · Implement AI-powered document extraction solutions for PDFs, scanned images, and semi-structured documents. · Integrate and configure HotDocs for document generation and template-driven content automation. · Build and enhance AI Extract workflows for intelligent data capture, classification, and validation. · Develop and manage POS (Point of Sale / Policy / Operational Systems) documentation ingestion and lifecycle management. · Implement cool text search / intelligent search capabilities (semantic search, full-text indexing, keyword + AI-based retrieval). · Collaborate with business, product, and architecture teams to translate requirements into scalable technical solutions. · Ensure data quality, security, performance, and compliance across all integrations. · Support deployment, monitoring, and optimization of AI and data pipelines in production environments. Requirements Required Skills Expertise in Snowflake AI features: AI_PARSE_DOCUMENT (Layout & OCR modes) AI_EXTRACT Cortex Search Snowflake Intelligence & Semantic Views Experience working with LLMs in SQL. Strong SQL and data modeling skills. Experience handling structured and unstructured data in Snowflake.