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Retrieval Augmented Generation Jobs in Arizona (NOW HIRING)

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

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 ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ · On-site

$125 - $150/hr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * AIP and AI ...

Inficare Technologies

full-stack engineer

Phoenix, AZ · On-site

RAG (retrieval-augmented generation), tool invocation, structured outputs (JSON), and safe fallbacks for critical paths. - Implement model orchestration and model ops practices: prompt/version ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

McCarthy Holdings, Inc.

AI Engineer II

Phoenix, AZ

$88K - $121K/yr

Prompt engineering, evaluation methodologies, and retrieval-augmented generation (RAG) patterns. * Experience with Palantir Foundry is strongly preferred, including familiarity with: * Ontology ...

Globe Telecom, Inc.

Fullstack Developer (AI)

Globe, AZ · On-site

Implementing RAG (Retrieval-Augmented Generation) architectures and connecting LLMs to real-time data sources. * API Design: Creating the bridges (REST/GraphQL) that allow front-end components to ...

Bounteous

Full-Stack AI Engineer -- AWS AI

Scottsdale, AZ · On-site

$100 - $125/hr

Build scalable enterprise solutions utilizing Generative AI, Retrieval-Augmented Generation (RAG), intelligent workflows, and AI agents. * Implement AI-enabled business solutions that enhance ...

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Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are popular job titles related to Retrieval Augmented Generation jobs in Arizona?

For Retrieval Augmented Generation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Retrieval Augmented Generation jobs in Arizona look for?

The top searched job categories for Retrieval Augmented Generation jobs in Arizona are:

What cities in Arizona are hiring for Retrieval Augmented Generation jobs?

Cities in Arizona with the most Retrieval Augmented Generation job openings:

Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in Arizona as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

AI Platform Architect

Troon Golf

Scottsdale, AZ • On-site

Full-time

Re-posted 5 days ago

Troon rating

6.2

Company rating: 6.2 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

18th of 29 rated golf clubs

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 at www.troon.com.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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About Troon Golf

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Troon started as one facility in 1990 and has since grown to become the world's largest professional club management company. We offer careers around the world at all levels of golf operations, opportunities for professional development, growth opportunities and a comprehensive benefits package. Our goal is to create extraordinary guest and member experiences through personalized service, consistency, and uncompromising attention to detail. For more information about the Troon Experience, please visit

Industry

Fitness and sports centers, hospitality services and traveler accommodation

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

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