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Snowflake AI Engineer – Cortex | Contract

  • Snowflake AI Engineer – Cortex | Contract job type Posted on: Nov 04, 2026
  • Snowflake AI Engineer – Cortex | Contract experience level CloudHive
  • Snowflake AI Engineer – Cortex | Contract employment type New York, New York
  • Snowflake AI Engineer – Cortex | Contract employment type Onsite
  • Snowflake AI Engineer – Cortex | Contract salary Full-time

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Job Title :

Snowflake AI Engineer – Cortex | Contract

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Snowflake AI Engineer – CortexLocation: New York City - Hybrid 2 days per weekContract Length: 6 Months InitialRate: $100-$120 hrAbout the Role:We’re seeking a skilled Snowflake AI Engineer to help build AI-powered solutions on the Snowflake platform. In this role, you’ll develop applications using Snowflake Cortex, design semantic models, and build the data and AI foundations that let users get answers from their data. Your work will directly shape how the organization puts AI into production on Snowflake.Key Responsibilities:Snowflake Cortex DevelopmentBuild AI solutions using Snowflake Cortex, including Cortex Analyst, Cortex Search, Cortex Agents, and AI Functions. Turn business use cases into reliable, production-ready AI applications.Semantic ModelingDesign and maintain semantic models and Semantic Views that allow business users to query data in natural language. Make sure models are accurate, well-defined, and aligned with business logic.RAG & Retrieval SolutionsDevelop retrieval-augmented generation (RAG) pipelines using Cortex Search and vector embeddings. Optimize chunking, retrieval, and prompt design to improve answer accuracy.AI Agents & IntegrationsBuild AI agents and integrations that connect Snowflake to other systems and tools, including APIs and MCP-based tooling.Evaluation & QualitySet up testing and evaluation frameworks to measure AI output accuracy, cost, and performance. Put guardrails in place so outputs are trustworthy and traceable to source data.Data FoundationsBuild and maintain the data pipelines and dbt models that power AI use cases, making sure data is clean, structured, and ready for AI applications.Collaboration & SupportWork closely with data engineers, analysts, and business stakeholders to understand requirements and deliver AI solutions that solve real problems.Required Skills & Experience:Strong hands-on experience with Snowflake, including SQL and cloud data architectureExperience building with Snowflake Cortex or other LLM/AI toolsUnderstanding of RAG, embeddings, and prompt engineeringPython development experience for AI and data workflowsHands-on experience with dbtProficiency with Git/GitHub for version controlSelf-starter who can work independently while collaborating effectively with cross-functional teamsNice to Have:Experience with Cortex Agents, Semantic Views, or Streamlit in SnowflakeExperience building AI agents or MCP toolingSnowflake certifications, such as SnowPro Core or Advanced

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4477820899

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Snowflake AI Engineer – CortexLocation: New York City - Hybrid 2 days per weekContract Length: 6 Months InitialRate: $100-$120 hrAbout the Role:We’re seeking a skilled Snowflake AI Engineer to help build AI-powered solutions on the Snowflake platform. In this role, you’ll develop applications using Snowflake Cortex, design semantic models, and build the data and AI foundations that let users get answers from their data. Your work will directly shape how the organization puts AI into production on Snowflake.Key Responsibilities:Snowflake Cortex DevelopmentBuild AI solutions using Snowflake Cortex, including Cortex Analyst, Cortex Search, Cortex Agents, and AI Functions. Turn business use cases into reliable, production-ready AI applications.Semantic ModelingDesign and maintain semantic models and Semantic Views that allow business users to query data in natural language. Make sure models are accurate, well-defined, and aligned with business logic.RAG & Retrieval SolutionsDevelop retrieval-augmented generation (RAG) pipelines using Cortex Search and vector embeddings. Optimize chunking, retrieval, and prompt design to improve answer accuracy.AI Agents & IntegrationsBuild AI agents and integrations that connect Snowflake to other systems and tools, including APIs and MCP-based tooling.Evaluation & QualitySet up testing and evaluation frameworks to measure AI output accuracy, cost, and performance. Put guardrails in place so outputs are trustworthy and traceable to source data.Data FoundationsBuild and maintain the data pipelines and dbt models that power AI use cases, making sure data is clean, structured, and ready for AI applications.Collaboration & SupportWork closely with data engineers, analysts, and business stakeholders to understand requirements and deliver AI solutions that solve real problems.Required Skills & Experience:Strong hands-on experience with Snowflake, including SQL and cloud data architectureExperience building with Snowflake Cortex or other LLM/AI toolsUnderstanding of RAG, embeddings, and prompt engineeringPython development experience for AI and data workflowsHands-on experience with dbtProficiency with Git/GitHub for version controlSelf-starter who can work independently while collaborating effectively with cross-functional teamsNice to Have:Experience with Cortex Agents, Semantic Views, or Streamlit in SnowflakeExperience building AI agents or MCP toolingSnowflake certifications, such as SnowPro Core or Advanced

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