Snowflake AI Engineer
Job details
- Level
- Senior
- Experience
- 5+ years
- Posted
- Nov 6, 2026
- Last confirmed open
- Nov 6, 2026
- Job function
- Software/Internet/AI › Machine Learning & AI › AI Engineer
About this role
- Job ID:
J54224
- Job Title:
Snowflake AI Engineer
- Location:
Las Vegas, NV
- Duration:
12 Months + Extension
- Domain Exposure:
Government
- Client:
To Be Discussed Later
- Employment Type:
W-2, 1099, C2C
- Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Snowflake AI Engineer
Location: Las Vegas, NV
Duration: 12 Months + Extension
Bill Rate: $83/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
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.
Key Responsibilities:
- 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.
Required Qualifications:
- 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.
- Preferred Qualifications
- 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.
Equal Opportunity
Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.
We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.