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
Numbers & Facts
Location
Las Vegas, NV
Salary
$50–$53 Per Hour
Skills
Agile Programming Methodologiesunmatched
Amazon Web Services (AWS)unmatched
Apacheunmatched
Apiary/Beekeepingunmatched
Artificial Intelligence (AI)unmatched
Artificial Intelligence (AI) Agentsunmatched
Best Practicesunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Data Lakeunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Desktop PCunmatched
Ecosystemsunmatched
Enterprise Protectionunmatched
GCP (Good Clinical Practices)unmatched
Gitunmatched
Linux Operating Systemunmatched
Maintain Complianceunmatched
Microsoft Windows Azureunmatched
Performance Tuning/Optimizationunmatched
Privacy Controlsunmatched
Proof of Conceptunmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
Requirements Managementunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Scrum Project Management and Software Developmentunmatched
Search Agentunmatched
Semantic Searchunmatched
Snowflake Schemaunmatched
Software Developmentunmatched
Software Engineeringunmatched
🎯
Be found by employers
5,500+ employers search our resume database daily. Add yours to get found by recruiters looking for candidates like you.
Level up your application
Professional resume templates
Browse dozens of recruiter approved resume templates, layouts and formats. Choose your favorite and make it your own in minutes.