Jobs · Art & Creative · Texas

SNOWFLAKE ARCHITECT / LEAD – AI & CORTEX

VeriiPro · Austin, TX · 1 mo ago
Art & CreativeContract

About the role

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.

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.

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.

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