A highly skilled AI & Data Integration Engineer with strong experience in Snowflake data integration, AI-driven document processing, and intelligent content search. The ideal candidate will work on building scalable data pipelines and AI solutions that enable automated document ingestion, extraction, indexing, and search across enterprise platforms.
·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
The skills we are looking for
within Snowflake are:
- 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