Snowflake Cortex AI Engineer

Stellent IT LLC
Las Vegas, NV, United States
5 days ago
Apply on www.dice.com
Prepare application

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Loading talks and stories from around this role…