Senior AI Data Architect: Enterprise Transformation Leader

Haier US Appliance Solutions, Inc.

Kentucky

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

GE Appliances, a Haier company, in Louisville, KY, seeks a Senior Principal Enterprise Data Architect to lead AI data transformation and the enterprise data layer evolution across R&D, supply chain, operations and customer experience.

You will publish the Enterprise AI Data Architecture Blueprint, design an AI Data Readiness Framework, and deploy vector stores, LLM integration, and event-driven pipelines. Strong TOGAF/Zachman experience and data governance leadership are required.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, or a related field required.
  • Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field strongly preferred.

Responsibilities

  • Lead the architectural enhancement and evolution of the enterprise data layer with AI-first design principles across the value chain.
  • Define, publish, and maintain the Enterprise AI Data Architecture Blueprint.
  • Design and operationalize an Enterprise AI Data Readiness Framework.
  • Architect and deploy vector database infrastructure and embeddings pipelines.
  • Define data architecture for Large Language Model (LLM) integration and RAG architectures.
  • Establish enterprise Synthetic Data Generation capability and DataOps practices.

Skills

Enterprise data architecture
AI data infrastructure
TOGAF/Zachman experience
Data governance
Leadership

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science / AI / Data Science

Tools

BigQuery
Collibra
Vector databases

Job description

GE Appliances, a Haier company, in Louisville, KY, seeks a Senior Principal Enterprise Data Architect to lead AI data transformation and the enterprise data layer evolution across R&D, supply chain, operations and customer experience.

You will publish the Enterprise AI Data Architecture Blueprint, design an AI Data Readiness Framework, and deploy vector stores, LLM integration, and event-driven pipelines. Strong TOGAF/Zachman experience and data governance leadership are required.

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