AI & Data Integration Engineer

·                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.

Requirements

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