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Long Finch Technologies

Snowflake Architect / Lead – AI & Cortex

Buda, TX

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About this opportunity

Long Finch Technologies lists this Snowflake Architect / Lead – AI & Cortex opportunity in Buda, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

We are seeking a hands-on Snowflake Architect / Lead with strong expertise in Snowflake, Snowflake Cortex AI, Generative AI, and LLM-based solutions . The ideal candidate will have 10+ years of technology experience and a strong background in designing enterprise-scale data architectures and AI solutions.

Key Responsibilities

Design and implement scalable, secure, and high-performance Snowflake architectures .

Lead data modeling, integration, performance optimization, and Snowflake platform best practices.

Implement production-grade RBAC and Row-Level Security (RLS) .

Develop solutions using Snowpark and Python .

Design and implement AI solutions using Snowflake Cortex AI, Cortex Search, and Cortex Analyst .

Build and integrate LLM and Generative AI applications with enterprise data.

Design RAG pipelines using embeddings, semantic search, and vector databases.

Develop AI agents and multi-agent architectures using LangChain, LangGraph, Semantic Kernel, or similar frameworks.

Design multi-tool orchestration and agent workflows for enterprise AI use cases.

Provide technical leadership for AI/data architecture, solution design, and implementation.

Collaborate with engineering, data, AI/ML, and business stakeholders to deliver production-ready solutions.

Required Skills

10+ years of overall technology experience.

Strong experience as a Snowflake Architect, Lead, or Senior Snowflake Engineer .

Expert knowledge of Snowflake architecture and engineering .

Hands-on Snowflake Cortex AI experience.

Strong AI / GenAI / LLM experience.

Production experience with RBAC and RLS .

Strong Snowpark and Python skills.

Experience with Cortex Search and/or Cortex Analyst .

Hands-on experience with RAG, embeddings, vector databases, and semantic search .

Experience with LangChain, LangGraph, Semantic Kernel , or similar frameworks.

Strong understanding of agentic AI and multi-agent architecture .

Experience designing enterprise AI solutions and architectures .

Who can apply

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