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