:

- 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 setting 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

📌 Snowflake AI Data Integration Engineer (Pune)
🏢 Futran Tech Solutions
📍 Pune