Snowflake Data Engineer_AI Engineer

Snowflake Data Engineer / AI Engineer Role Summary We are looking for a Snowflake Data Engineer / AI Engineer to build and support modern Snowflake data pipelines and AI-enabled solutions. This role is best suited for someone with strong hands-on experience in Snowflake engineering and practical enterprise AI use cases, especially around LLM-enabled workflows and document data extraction. This is a hybrid role focused on: Snowflake AI functions and Snowflake-native AI capabilities Streams, Tasks, Snowpipe, and pipeline orchestration Data pipeline design, development, troubleshooting, and operational support Effective prompt design for LLM-driven workflows Evaluation of LLM quality and performance Document extraction from scanned, semi-structured, or business documents Top Priority Skills Strong hands-on experience with Snowflake Experience with Snowflake AI functions / Snowflake-native AI capabilities Experience using Streams, Tasks, Snowpipe, and orchestration tools Strong background in data pipeline design, development, troubleshooting, and support Experience writing effective prompts for LLM-based solutions Experience evaluating LLM performance, including output quality, consistency, groundedness, latency, and cost Experience building or supporting document extraction / intelligent document processing solutions Strong SQL skills Experience designing batch and near-real-time data workflows Key Responsibilities Design, build, and maintain scalable data pipelines in Snowflake Develop and support ingestion and transformation workflows using Snowpipe, Streams, Tasks, and orchestration frameworks Troubleshoot pipeline performance, failures, latency issues, and data quality problems Build AI-enabled workflows using Snowflake AI capabilities and LLM-based patterns Create and refine prompts for extraction, summarization, classification, and retrieval-based use cases Define and apply methods to evaluate LLM performance in production Design document processing workflows for extracting structured data from PDFs, scanned files, forms, invoices, or similar business documents Implement validation, confidence scoring, exception handling, and human review where needed Partner with stakeholders to deliver reliable, governed, and cost-conscious solutions Required Experience Experience in Snowflake data engineering Experience with Streams, Tasks, Snowpipe, and related Snowflake pipeline patterns Experience with pipeline orchestration Experience troubleshooting slow, unreliable, or failing data pipelines Experience with LLM prompts and AI workflow design Experience evaluating LLM or AI solution quality Experience with document extraction, OCR-supported workflows, or intelligent document processing Strong SQL and data modeling fundamentals