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Azure Ai Document Intelligence Jobs in Arizona (NOW HIRING)

Bounteous

Azure AI Foundry Architect

Scottsdale, AZ · On-site

$64 - $83.25/hr

Exceptional documentation and communication skills. * Ability to influence cross-functional teams ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Bounteous

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Exceptional documentation and communication skills. * Ability to influence cross-functional teams ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Bounteous

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Exceptional documentation and communication skills. * Ability to influence cross-functional teams ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Bounteous

Azure AI Foundry Architect

Scottsdale, AZ · On-site

$140 - $190/hr

Job Title: Azure AI Foundry Architect Location: Remote (Onshore Preferred - 5 days onsite ... Exceptional documentation and communication skills. * Ability to influence cross-functional teams ...

Trellance, Inc.

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

Experience with intelligent document processing solutions using Azure AI Document Intelligence. * Certifications in Microsoft Azure, AI Engineering, Data Engineering, or related technologies.

New

Bounteous

AI Full-Stack Engineers

Scottsdale, AZ · On-site

... Azure AI, Azure AI Foundry, Copilot Studio, Azure OpenAI, APIs, integration patterns, agentic ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

New

Bounteous

AI Full-Stack Engineers

Scottsdale, AZ · Hybrid

... Azure AI, Azure AI Foundry, Copilot Studio, Azure OpenAI, APIs, integration patterns, agentic ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

New

Bounteous

AI Full-Stack Engineers

Scottsdale, AZ · Hybrid

... Azure AI, Azure AI Foundry, Copilot Studio, Azure OpenAI, APIs, integration patterns, agentic ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

New

RRA Capital

AI & Data Architect

Phoenix, AZ · On-site

$180 - $240/hr

Azure AI Foundry (including Azure OpenAI), and Azure AI Search, or their AWS/GCP equivalents * You ... Intellectual curiosity about how a real estate credit firm actually works -- how deals get ...

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All JobsAzure Ai Document Intelligence JobsAzure Ai Document Intelligence Jobs in Arizona

Azure Ai Document Intelligence information

What is Azure AI Document Intelligence?

Azure AI Document Intelligence is a cloud-based service provided by Microsoft Azure that uses artificial intelligence to extract, analyze, and process information from documents such as invoices, receipts, forms, and more. It helps automate data extraction by recognizing key fields and values, turning unstructured data into structured, usable information. This service is commonly used to streamline document-heavy workflows, reduce manual data entry, and improve operational efficiency for businesses.

What are some common challenges faced by professionals working with Azure AI Document Intelligence, and how can they be addressed?

Professionals working with Azure AI Document Intelligence often encounter challenges such as handling documents with complex layouts, ensuring high accuracy in data extraction, and integrating the service into existing workflows. Overcoming these challenges typically involves leveraging pre-trained models, customizing training with domain-specific data, and collaborating closely with developers and business analysts to fine-tune extraction processes. Regularly testing the models and staying updated with Azure’s latest features can also help improve outcomes and streamline document processing within teams.

What are the key skills and qualifications needed to thrive as an Azure AI Document Intelligence Specialist, and why are they important?

To excel as an Azure AI Document Intelligence Specialist, you need a solid understanding of cloud computing, machine learning, and document processing, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services, especially AI Document Intelligence (formerly Form Recognizer), as well as experience with APIs, Python, and data integration tools is crucial. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business needs and deliver tailored AI solutions. These competencies ensure accurate extraction and processing of information from documents, driving automation and efficiency in enterprise workflows.

What is the difference between Azure Ai Document Intelligence vs Data Scientist?

AspectAzure Ai Document IntelligenceData Scientist
Primary FocusAutomating document processing and extracting insights from unstructured data using AIAnalyzing data to develop models, insights, and predictions for business decisions
Required SkillsAI/ML, OCR, NLP, cloud services, data preprocessingStatistics, programming (Python/R), machine learning, data analysis
Work EnvironmentCloud platforms, AI tools, enterprise document workflowsData analysis environments, research labs, business analytics
CertificationsAzure certifications, AI/ML certificationsData Science certifications, Python/R certifications

Azure Ai Document Intelligence focuses on automating document processing using AI technologies, while Data Scientists analyze data to build predictive models. Both roles require AI and data analysis skills but serve different purposes within the data ecosystem.

What are popular job titles related to Azure Ai Document Intelligence jobs in Arizona?

For Azure Ai Document Intelligence jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Azure Ai Document Intelligence jobs in Arizona look for?

The top searched job categories for Azure Ai Document Intelligence jobs in Arizona are:

What cities in Arizona are hiring for Azure Ai Document Intelligence jobs?

Cities in Arizona with the most Azure Ai Document Intelligence job openings:

Azure Ai Document Intelligence jobs near you
Infographic showing various Azure Ai Document Intelligence job openings in Arizona as of August 2026, with employment types broken down into 9% Internship, 71% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution.

Azure AI Foundry Architect

Bounteous

Scottsdale, AZ • On-site

$64 - $83.25/hr

Full-time

Posted 8 days ago

Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.
Job Title: Azure AI Foundry Architect
Location: Remote (Onshore Preferred - 5 days onsite)
Employment Type: Contract
Domain: Retail
About the Role
We are seeking an experienced Azure AI Foundry Architect to support our Retail AI team, in accelerating enterprise AI adoption through the design, governance, and deployment of secure, scalable AI platforms.
This role will be responsible for architecting and governing Azure AI Foundry environments, Azure OpenAI services, model access patterns, AI evaluation frameworks, deployment standards, and enterprise AI governance practices. The ideal candidate brings hands-on experience building production-grade Generative AI and agentic AI solutions while ensuring security, compliance, scalability, and operational excellence.
The architect will work closely with business stakeholders, AI engineers, cloud platforms, cybersecurity, enterprise architecture, and data teams to establish best practices and scalable AI deployment patterns across the organization.
Key Responsibilities
Azure AI Foundry Architecture & Strategy
  • Design and implement enterprise-scale Azure AI Foundry architectures.
  • Define AI platform standards, reusable architectures, and deployment frameworks.
  • Establish Azure AI Foundry project structures, resource organizations, and environment strategies.
  • Develop reference architectures supporting enterprise AI initiatives.
  • Guide adoption of Azure-native AI services across the organization.

Azure OpenAI & Model Architecture
  • Architect secure and scalable Azure OpenAI implementations.
  • Define model consumption and deployment strategies.
  • Design enterprise model access patterns supporting internal business applications.
  • Evaluate model selection strategies for various business use cases.
  • Optimize AI platform performance, reliability, scalability, and cost management.
  • Support LLM deployment lifecycle management.
  • AI Foundry Resource & Project Management

Required Qualifications
Education
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
Advanced degree preferred but not required.
Experience
  • 3-5 years of hands-on experience architecting Azure cloud solutions.
  • Experience designing enterprise AI or Generative AI platforms.
  • Proven experience deploying production AI solutions in Azure environments.
  • Experience collaborating with enterprise architecture, security, and cloud engineering teams.

Preferred Qualifications
  • Experience leading AI platform architecture initiatives within large enterprises.
  • Experience implementing Retail AI use cases.
  • Experience with Microsoft Fabric, Dataverse, and Power Platform integration.
  • Exposure to MLOps and LLMOps practices.
  • Knowledge of Responsible AI and regulatory compliance requirements.
  • Microsoft Azure AI Engineer Associate or Azure Solutions Architect certifications preferred.
  • Strong architecture and systems thinking.
  • Excellent stakeholder management skills.
  • Ability to translate business requirements into technology solutions.
  • Strong consulting and advisory capabilities.
  • Exceptional documentation and communication skills.
  • Ability to influence cross-functional teams and executive stakeholders.

Information Security Responsibilities
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

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Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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