AI Platform Architect: Scale AI, Data & LLM Workflows

Troon

Scottsdale (AZ)

On-site

USD 140,000 - 200,000

Full time

10 days ago
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Job summary

Troon’s Corporate office in Scottsdale, AZ is seeking an AI Platform Architect to lead the data platform interfaces for AI-enabled applications. The candidate should have 7+ years in software architecture and 2+ years designing AI/ML solutions.

You will build reusable components for retrieval pipelines, embeddings, and vector storage, define how AI agents interact with enterprise data and systems of record, and optimize performance and cost across AI workloads in Azure data services and

Qualifications

  • 7+ years in software architecture, data/platform engineering
  • 2+ years designing AI/ML or LLM-powered apps
  • Experience integrating AI with enterprise data platforms

Responsibilities

  • Design reusable AI-enabled architectural components and pipelines
  • Define AI agent interactions with the data platform and systems of record
  • Develop semantic models and vector storage strategies
  • Establish patterns for prompt design, validation, and evaluation
  • Lead design reviews ensuring alignment with Azure and Fabric
  • Collaborate with data platform and full-stack teams
  • Optimize performance, cost, and reliability of AI workloads

Skills

LLM architecture
Data modeling
API design
Workflow orchestration
Vector databases
AI integration

Education

Bachelor’s degree in Computer Science
Equivalent combination of education and experience

Tools

Azure Data Factory
Azure Synapse
Azure Data Lake
Delta Lake
Fabric

Job description

Troon’s Corporate office in Scottsdale, AZ is seeking an AI Platform Architect to lead the data platform interfaces for AI-enabled applications. The candidate should have 7+ years in software architecture and 2+ years designing AI/ML solutions.

You will build reusable components for retrieval pipelines, embeddings, and vector storage, define how AI agents interact with enterprise data and systems of record, and optimize performance and cost across AI workloads in Azure data services and

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