Snowflake AI Data Integration Engineer

Job Description:

• 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.

C. CI/CD & DevOps

• Experience building CI/CD pipelines for Snowflake solutions.
• Strong experience with GitLab and Git-based development workflows.
• Understanding of environment promotion, release management, and version control.

Required Skills/Mandatory Skillset:

• AI_PARSE_DOCUMENT (both layout mode and OCR mode)
• AI_EXTRACT (their new replacement for Document AI)
• Cortex Search
• Snowflake Intelligence, and setting up Semantic views for it
• LLMs in SQL