AI Platform Architect

BallenIsles Country Club • Phoenix, AZ

12h • Onsite

About The Position

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.

Requirements

• 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
• 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

Nice To Haves

• 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
• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior