Job Description
Role: AI Architect with Snowflake
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Location: Phoenix, AZ/Chicago, IL -Hybrid Onsite
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Type: Contract
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We are seeking an experienced AI Architect with strong hands-on Snowflake expertise to design and implement scalable AI, data, and analytics solutions. The role requires a combination of AI/ML architecture, Generative AI, LLMs, data engineering, cloud architecture, and Snowflake development.
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The ideal candidate should be capable of moving beyond architecture and personally developing prototypes, data pipelines, Snowflake solutions, RAG applications, and AI integrations.
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Key Responsibilities
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- Design end-to-end AI/ML and Generative AI architectures using enterprise data platforms.
- Architect scalable AI solutions using LLMs, RAG, vector search, embeddings, AI agents, and predictive ML.
- Develop hands-on solutions using Snowflake as the enterprise data and AI platform.
- Design Snowflake data models, databases, schemas, views, secure views, stages, streams, tasks, and pipelines.
- Develop complex Snowflake SQL and optimize queries for large-scale datasets.
- Implement Snowpark solutions using Python and/or other supported languages.
- Build data pipelines integrating Snowflake with cloud storage, APIs, databases, streaming platforms, and enterprise applications.
- Design and implement RAG pipelines using enterprise documents and structured data.
- Work with embeddings, vector search, chunking, metadata, retrieval, reranking, and prompt engineering.
- Leverage Snowflake Cortex and related AI capabilities where appropriate.
- Integrate Snowflake with cloud AI/ML services such as AWS Bedrock, Azure OpenAI, or Google Vertex AI.
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