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Remote Azure Cloud Engineer Jobs in Arizona (NOW HIRING)

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... The architect will work closely with business stakeholders, AI engineers, cloud platforms ...

Azure AI Foundry Architect

Scottsdale, AZ · Remote

$64 - $83.25/hr

Remote (Onshore Preferred - 5 days onsite) Employment Type: Contract Domain: Retail About the Role ... The architect will work closely with business stakeholders, AI engineers, cloud platforms ...

Senior DevOps & Cloud Engineer

Mesa, AZ · On-site +1

$114K - $146K/yr

OVERVIEW AND ESSENTIAL JOB FUNCTIONS The Senior DevOps & Cloud Engineer will be responsible for managing the Azure infrastructure platform responsible for hosting solutions such as web API services ...

Senior DevSecOps Engineer

Phoenix, AZ · On-site +1

$113K - $155K/yr

Design, implement, and continuously improve secure Azure cloud architectures, networking, governance, and infrastructure to support scalable, secure-by-default engineering. * Strengthen cloud ...

DevOps Engineer

Phoenix, AZ · Remote

$52.50 - $71.75/hr

... to join their fully remote team. This full-time position centers on cloud infrastructure ... Experience with AWS, Azure, or another major cloud platform * Experience with managed Kubernetes ...

New

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Azure DevOps * Cloud Infrastructure * Site Reliability Engineering (SRE) * Platform Engineering

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Azure DevOps * Cloud Infrastructure * Site Reliability Engineering (SRE) * Platform Engineering

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Showing results 1-20

Remote Azure Cloud Engineer information

What is a remote Azure cloud engineer?

A Remote Azure Cloud Engineer is an IT professional who designs, implements, and manages cloud-based solutions using Microsoft Azure, while working remotely from any location. Their responsibilities typically include deploying virtual machines, configuring cloud services, ensuring security and compliance, and troubleshooting technical issues related to Azure infrastructure. They collaborate with development and operations teams to support cloud-based applications and may also be involved in automation, monitoring, and optimizing cloud resources. Strong knowledge of Azure services, networking, and cloud security is essential for this role.

What are the key skills and qualifications needed to thrive as a remote Azure cloud engineer, and why are they important?

To thrive as a Remote Azure Cloud Engineer, you need strong expertise in cloud computing, Azure services, infrastructure as code, and a relevant degree or certifications such as Microsoft Certified: Azure Solutions Architect or Azure Administrator. Proficiency with tools like Azure DevOps, ARM templates, PowerShell, and monitoring systems is typically required. Outstanding problem-solving, communication, and self-management skills are crucial for collaborating across distributed teams and addressing technical challenges remotely. These skills ensure secure, efficient cloud solutions and effective teamwork in a remote work environment.

What are some common challenges faced by remote Azure cloud engineers, and how can they be addressed?

Remote Azure Cloud Engineers often encounter challenges such as managing secure access to cloud resources, staying updated with rapidly evolving Azure services, and ensuring effective communication with distributed teams. To address these, it's important to use secure VPNs and Azure security best practices, allocate regular time for professional development, and leverage collaboration tools like Microsoft Teams or Slack. Proactive documentation and clear workflows also help maintain alignment with colleagues and ensure project success.

What are the most commonly searched types of Azure Cloud Engineer jobs in Arizona?

The most popular types of Azure Cloud Engineer jobs in Arizona are:

What are popular job titles related to Remote Azure Cloud Engineer jobs in Arizona?

For Remote Azure Cloud Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Remote Azure Cloud Engineer jobs in Arizona look for?

The top searched job categories for Remote Azure Cloud Engineer jobs in Arizona are:

What cities in Arizona are hiring for Remote Azure Cloud Engineer jobs?

Cities in Arizona with the most Remote Azure Cloud Engineer job openings:

Infographic showing various Remote Azure Cloud Engineer job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Azure AI Foundry Architect

Bounteous

Scottsdale, AZ • Remote

$64 - $83.25/hr

Full-time

Posted 6 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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