Snowflake AI Solutions Architect

Cloud88Inc; Austin (TX); On-site; USD 170,000 - 230,000; Full time

Job summary

Cloud88Inc is seeking an experienced Snowflake AI Solutions Architect to design and implement enterprise-scale Snowflake data and AI platforms in production environments. You will lead architecture, performance, security, and integrations across Snowflake, LLMs and AI services.

The role requires 10–15 years in IT/data engineering, hands-on Snowflake, Snowpark, Python, and GenAI execution. You will drive RBAC/RLS, Cortex components, and multi-agent AI orchestration in a complex environment.

Qualifications

• 10–15 years of IT/data engineering and architecture experience.
• Snowflake Architect / Technical Lead with hands-on development.
• Production experience with RBAC and Row-Level Security (RLS).
• Hands-on experience with Snowpark and Python.
• Experience with Snowflake Cortex Search/Analyst, LangChain, LangGraph or Semantic Kernel.
• Strong knowledge of vector databases, embeddings, semantic search, and RAG architectures.

Responsibilities

• Architect enterprise-scale Snowflake data and AI solutions.
• Lead Snowflake architecture design, performance optimization and implementation.
• Design and implement RBAC and RLS in production Snowflake environments.
• Develop scalable data processing workloads using Snowpark and Python.
• Design GenAI solutions with Snowflake Cortex, Cortex Search and Cortex Analyst.
• Build Retrieval-Augmented Generation (RAG) solutions using vectors and embeddings.
• Orchestrate AI workflows using LangChain, LangGraph, or Semantic Kernel.
• Create multi-agent AI systems with agent orchestration and inter-agent communication.

Skills

Snowflake architecture

Technical leadership

RBAC & RLS

Python

Generative AI

LLMs & prompt engineering

Multi-Agent AI

Data engineering & architecture

Security & governance

Tools

Snowpark

LangChain

LangGraph

Semantic Kernel

Cortex Search

Cortex Analyst

Vector databases

Embeddings

Job description

We are seeking an experienced Snowflake AI Solutions Architect with strong expertise in Snowflake architecture, enterprise security, Generative AI, RAG, and multi-agent AI solutions. The ideal candidate will have hands‑on experience designing and implementing scalable Snowflake‑based data and AI platforms in production environments.

Key Responsibilities

• Architect and implement enterprise-scale Snowflake data and AI solutions.
• Lead Snowflake architecture, platform design, performance optimization, and technical implementation.
• Design and implement RBAC (Role-Based Access Control) and Row-Level Security (RLS) in production Snowflake environments.
• Develop scalable data processing and application workloads using Snowpark and Python.
• Design and implement GenAI solutions using Snowflake Cortex, including Cortex Search and Cortex Analyst.
• Build enterprise Retrieval-Augmented Generation (RAG) solutions using vector databases, embeddings, semantic search, and LLMs.
• Develop AI applications and orchestration workflows using LangChain, LangGraph, and/or Semantic Kernel.
• Architect multi-agent AI systems, including agent orchestration, tool integration, workflow management, and inter-agent communication.
• Design secure integrations between Snowflake, enterprise applications, APIs, LLMs, and AI services.
• Define architecture patterns and standards for AI/ML, Generative AI, and Agentic AI solutions.
• Collaborate with data engineering, AI/ML, security, cloud, and application teams to translate business requirements into technical solutions.
• Establish best practices around Snowflake security, governance, scalability, performance, and cost optimization.
• Provide technical leadership, architecture guidance, solution reviews, and implementation support.

Required Skills

• 10–15 years of overall IT/data engineering and architecture experience.
• Strong experience as a Snowflake Architect / Technical Lead.
• Advanced hands‑on expertise with Snowflake architecture and development.
• Production implementation experience with RBAC and Row‑Level Security (RLS).
• Strong hands‑on experience with Snowpark.
• Strong programming experience with Python.
• Hands‑on experience with Snowflake Cortex Search and Cortex Analyst.
• Experience with LangChain, LangGraph, and/or Semantic Kernel.
• Strong understanding of Vector Databases, embeddings, semantic search, and RAG architecture.
• Experience designing and implementing Multi-Agent AI Architecture.
• Strong knowledge of LLMs, Generative AI, Agentic AI, prompt engineering, and AI solution design.