Snowflake Cortex AI Engineer

Artech LLC

  • Las Vegas, NV
  • 2 days ago
  • $50–$53 Per Hour

Highlights

The ideal candidate will be responsible for designing and implementing AI-powered data solutions, developing RAG-based applications, building scalable data pipelines, and deploying enterprise-grade AI solutions leveraging Snowflake's AI ecosystem. We are seeking a highly skilled Senior AI Data Engineer with expertise in Snowflake, Cortex AI, Python, AI Agents, and modern data engineering platforms .

Numbers & Facts

LocationLas Vegas, NV
Salary$50–$53 Per Hour

Description

Request ID: 114408-1
Title: Snowflake Cortex AI Engineer
Locations: Las Vegas, NV
Duration: 06+ Months
Pay Range: $50-$53/Hour on W2/C2C (All inclusive)


We are seeking a highly skilled Senior AI Data Engineer with expertise in Snowflake, Cortex AI, Python, AI Agents, and modern data engineering platforms. The ideal candidate will be responsible for designing and implementing AI-powered data solutions, developing RAG-based applications, building scalable data pipelines, and deploying enterprise-grade AI solutions leveraging Snowflake's AI ecosystem.

This role combines Data Engineering, AI/ML Integration, Solution Architecture, and Customer Engagement to deliver innovative, production-ready AI applications.


Key Responsibilities

  • Design and implement AI-powered solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
  • Develop and deploy RAG (Retrieval-Augmented Generation) applications, AI agents, semantic search solutions, and agentic workflows.
  • Architect scalable data platforms using Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
  • Build and optimize ELT/ETL pipelines for batch and real-time data processing.
  • Develop enterprise AI applications leveraging LLMs, vector search, and AI orchestration frameworks.
  • Implement data modeling, semantic layers, governance, security, and performance optimization within Snowflake.
  • Lead architecture reviews, workshops, proof-of-concepts (PoCs), and production deployments.
  • Collaborate with business stakeholders, product teams, and customers to translate requirements into scalable solutions.
  • Create reusable frameworks, accelerators, and best practices for AI and data engineering initiatives.
  • Ensure adherence to enterprise security, privacy, compliance, and governance standards.

Required Skills

AI & Snowflake

  • Snowflake Architecture
  • Snowflake Cortex AI
  • CoCO & CoCO Desktop
  • Snowpark
  • AI Agents
  • RAG Applications
  • Vector Search
  • Semantic Layer Design
  • LLM Integration

Data Engineering

  • Python
  • PySpark
  • SQL
  • Snowflake
  • Airflow
  • dbt
  • Kafka
  • Spark
  • ELT/ETL Pipeline Development
  • Real-Time Data Processing

Data Platforms

  • Hive
  • Trino
  • Data Lake Architectures
  • Data Warehousing
  • Analytics Engineering

Cloud Technologies

  • AWS / Azure / GCP
  • Cloud-Native Data Services

Development Practices

  • Agile Scrum
  • CI/CD
  • Git
  • Solution Architecture
  • Performance Optimization

Preferred Skills

  • Snowflake Architect / Data Engineer Certifications
  • Streamlit
  • Dynamic Tables
  • Snowpipe
  • Snowflake Native Apps
  • OpenAI, Anthropic, Gemini Integration
  • Linux
  • OpenShift
  • Kubernetes
  • Apache Superset
  • Enterprise Security & Governance

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