Snowflake Cortex AI Engineer
Stellent IT LLC
Las Vegas, NV, United States
5 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services
Data Analysis
ARM Architecture
Microsoft Azure
Mobile Application Development
Cloud Computing
Information Engineering
Extract Transform Load (ETL)
Data Systems
Python (Programming Language)
+20 more
Performance Tuning
OpenAI
Standard Sql
Search Technologies
Software Deployment
Systems Integration
Enterprise Data Management
Google Cloud
Retrieval-Augmented Generation
Open-source Models
Large Language Models
Snowflake
Apache Spark
Agentic-AI
Data Layers
Apache Kafka
Data Management
Google Gemini
Streamlit Framework
Serverless Computing
Job description
We’re seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms., * Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
- Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
- Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, dbt, and cloud-native services.
- Build robust ELT/ETL pipelines and real-time integrations.
- Lead workshops, architecture reviews, PoCs, and production deployments.
- Develop reusable accelerators and best practices.
Requirements
- 5+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
- Deep expertise in Snowflake architecture, security, governance, and performance optimization.
- Hands-on experience with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.
- Experience building LLM, RAG, vector search, and agentic AI solutions.
- Strong SQL and Python skills.
- Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud Platform).
- Strong customer-facing communication and solution architecture skills., * Snowflake certifications (Architect, Data Engineer, AI specialization).
- Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
- Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
- Knowledge of enterprise security, governance, privacy, and compliance frameworks., * A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.
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Prepare application
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