AI Platform Architect

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, located in Scottsdale, AZ, is pleased to announce an excellent career opportunity for an AI Platform Architect! We are seeking a highly motivated individual who is eager to learn, contribute, and advance their career within a rapidly growing organization. The ideal candidate will bring a strong commitment to professional development and a desire to succeed in a dynamic corporate environment.

The AI Platform Architect designs and implements the architecture that connects Troon’s data platform to AI-enabled applications, including retrieval-augmented generation (RAG) services, document and content pipelines, agent-to-data interfaces, and AI workflow orchestration. Builds reusable platform components and patterns that enable AI use cases to be delivered consistently, reliably, and at scale across the organization. Serves as the technical authority on how AI systems consume Troon’s data and interact with operational systems of record.

Key Responsibilities
  • Design and build reusable architectural components for AI-enabled solutions, including retrieval pipelines, knowledge bases, document parsing, validation engines, content and KPI libraries, and workflow orchestrators that accelerate delivery across use cases
  • Define how AI agents and applications interact with Troon’s data platform, including retrieval scopes, function-calling schemas, and write-back patterns, and implement integration with systems of record (e.g., Dynamics F&O, Dynamics CE, Premier POS) to ensure data quality, freshness, and auditability
  • Design semantic data models, embeddings strategies, and vector storage approaches that make Troon’s data consumable by large language models
  • Establish technical patterns for AI implementation, including prompt design, output validation, evaluation harnesses, and feedback capture loops
  • Lead technical design reviews for AI use cases and ensure architectural alignment with the broader Azure and Microsoft Fabric platform
  • Partner with the Sr. Data Platform Architect on the underlying data foundation and with full stack developers on application-layer integration
  • Optimize performance, cost, and reliability across AI workloads, including model selection, caching, and retrieval efficiency
Required Qualifications
  • 7+ years of experience in software architecture, data engineering, or platform engineering
  • 2+ years of hands-on experience designing AI/ML or LLM-powered applications
  • Proven experience integrating AI systems with enterprise data platforms and operational systems
Preferred Qualifications
  • Experience designing RAG pipelines and working with vector databases at production scale
  • Experience implementing agentic workflows or function-calling integrations with LLMs
  • Experience working within Azure data platforms and Microsoft Fabric environments
Required Knowledge and Skills
  • Deep understanding of LLM application architecture, including RAG, function calling, and agent orchestration patterns
  • Strong proficiency in data modeling, semantic layer design, and integration patterns across heterogeneous systems
  • Experience with vector databases, embeddings, and retrieval system design
  • Strong understanding of API design, event-driven architectures, and workflow orchestration tools
  • Excellent technical communication skills, with the ability to translate AI concepts into actionable architecture for engineering teams
Preferred Knowledge and Skills
  • Familiarity with Azure data services (Data Factory, Synapse, Data Lake, Fabric) and Delta Lake
  • Experience with prompt engineering and AI evaluation techniques (golden datasets, LLM-as-judge, red-teaming)
  • Knowledge of document parsing, OCR, and unstructured data processing
  • Familiarity with model performance monitoring, drift detection, and observability for AI systems
Education Requirements
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
  • Equivalent combination of education and experience may be considered
About Troon

Founded in 1990 and headquartered in Scottsdale, AZ, Troon is the world’s largest professional club management company, that specializes in services in golf, hospitality, and residential communities.With more than 900 locations in 45+ states and 27+ countries, Troon is a leading employer in hospitality.Guided by values that emphasize being infectiously energetic, consciously kind, and humbly prosperous,Troon offers professionals the opportunity to grow and succeed within a globally respected organization.Learn more atwww.troon.com.

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