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Energy Jobline ZR

AI Architect in Chicago

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Job Description

Role: AI Architect with Snowflake

Location: Phoenix, AZ/Chicago, IL -Hybrid Onsite

Type: Contract

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.

The ideal candidate should be capable of moving beyond architecture and personally developing prototypes, data pipelines, Snowflake solutions, RAG applications, and AI integrations.

Key Responsibilities

  • 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 .
  • 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.

Skills

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