Snowflake AI Data Integration Engineer
First seen by Alion on Sep 10, 2026.
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.
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:
- AI_PARSE_DOCUMENT (layout mode and OCR mode)
- AI_EXTRACT
- Cortex Search
- Snowflake Intelligence, and setting up Semantic views
- LLMs in SQL
Skills
Data Engineering, Python, Machine Learning, Snowflake DB, Artificial Intelligence, POS