Snowflake Architect / Lead – AI & Cortex

Veriipro; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Veriipro seeks a hands-on Snowflake Architect/Lead in Austin, TX with 10+ years of technology experience to design enterprise-scale data architectures and AI solutions. You will steer Snowflake architectures, RBAC/RLS, and AI-driven data pipelines across engineering, data, and business teams.

Expertise in Snowflake Cortex AI, Cortex Search, Cortex Analyst, Snowpark, and Python is required, along with experience in LangChain/LangGraph and multi-agent AI solutions.

Qualifications

• 10+ years of technology experience required.
• Proven experience as Snowflake Architect/Lead/Senior Snowflake Engineer.
• Expert knowledge of Snowflake architecture and engineering.
• Hands-on Snowflake Cortex AI experience.
• Strong AI/GenAI/LLM experience.
• RBAC and RLS production experience.
• Strong Snowpark and Python skills.
• Experience with Cortex Search and Cortex Analyst.
• Hands-on with embeddings, vector databases, 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.

Responsibilities

• Design and implement scalable, secure Snowflake architectures.
• Lead data modeling, integration, performance optimization, and 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

Snowflake Architect

Lead

Senior Snowflake Engineer

Snowflake Cortex AI

Generative AI

LLM

RBAC

RLS

Snowpark

Python

Cortex Search

Cortex Analyst

LangChain

LangGraph

Semantic Kernel

vector databases

Tools

Snowpark

Python

LangChain

LangGraph

Semantic Kernel

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.