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Ai Platform Engineer Jobs in Arizona (NOW HIRING)

AI Platform Architect

Scottsdale, AZ ยท On-site

$125 - $150/hr

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 ...

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 ...

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 ...

AI Platform Tooling: Practical experience configuring and governing enterprise AI tooling ... Mentor engineers, analysts, and business users on getting the most out of the platform What We're ...

Provides professional and technical mentorship for experienced architects, engineers and IT ... Experience architecting enterprise AI platforms leveraging technologies such as AWS Bedrock, OpenAI ...

New

Provides professional and technical mentorship for experienced architects, engineers and IT ... Experience architecting enterprise AI platforms leveraging technologies such as AWS Bedrock, OpenAI ...

New

Bounteous is a global AI Services firm where agentic engineering and human experience converge to ... Microsoft AI Platform Administrator. Job Location: Sccottsdale, AZ. Job Type: Contract, Onsite - 5 ...

Lead AI Engineer

Phoenix, AZ ยท On-site

$147K - $202K/yr

A day in the life The Lead AI Engineer builds production AI platform capabilities that transform Prologis building, project, asset, and operational data into reusable solutions for construction ...

Principal AI Engineer

Tucson, AZ ยท On-site

$179K - $226K/yr

This highly visible leadership role will establish the foundational AI platforms, engineering practices, and governance framework that enable scientists, software engineers, and operations teams to ...

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Ai Platform Engineer information

See Arizona salary details

$30

$59

$88

How much do ai platform engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for ai platform engineer in Arizona is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $68.75 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

What are the key skills and qualifications needed to thrive as an AI Platform Engineer, and why are they important?

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

What is the difference between Ai Platform Engineer vs Data Engineer?

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What are popular job titles related to Ai Platform Engineer jobs in Arizona?

For Ai Platform Engineer jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Ai Platform Engineer jobs?

Cities in Arizona with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Arizona as of August 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $123,965 per year, or $59.6 per hour.

AI Platform Architect

Troon International

Scottsdale, AZ โ€ข On-site

$125 - $150/hr

Other

Posted 20 days ago


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.

  • Define how AI agents and applications interact with Troon's data platform, including retrieval scopes, function-calling schemas, and integration with systems of record.

  • Lead technical design reviews for AI use cases and ensure architectural alignment with the broader Azure and Microsoft Fabric platform.


Job description

Troon Headquarters
Scottsdale, AZ 85254, USA

Description

Troonโ€™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 Troonโ€™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 Troonโ€™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 Troonโ€™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 Troonโ€™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 handsโ€‘on experience designing AI/ML or LLMโ€‘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 functionโ€‘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, eventโ€‘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, LLMโ€‘asโ€‘judge, redโ€‘teaming)
  • Knowledge of document parsing, OCR, and unstructured data processing
  • Familiarity with model performance monitoring, drift detection, and observability for AI systems

Education Requirements:

  • Bachelorโ€™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 worldโ€™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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