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Remote Microsoft Azure Jobs in Arizona (NOW HIRING)

Bounteous

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 ... Microsoft Azure AI Engineer Associate or Azure Solutions Architect certifications preferred.

New

Bounteous

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 ... Microsoft Azure AI Engineer Associate or Azure Solutions Architect certifications preferred.

New

CIBC

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams, risk ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

CIBC US

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams, risk ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

TEKsystems

Solutions Engineer

Phoenix, AZ · Remote

$60 - $80/hr

Honolulu, HI on-site | remote capability for candidates located at Arizona Industry: Banking ... Cloud certifications such as Microsoft Azure , AWS, or comparable certifications. Soft Skills

YO AI Labs

Infrastructure Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

New

YO AI Labs

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ... Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft ...

New

ConnexPay

Enterprise Support Engineer II

Tucson, AZ · Remote

Remote - U.S.-Based | Atlanta, GA | Dallas, TX Job Type : Full-Time Reports To : VP of IT ... Microsoft Azure services * ITIL certification * CompTIA certification * Microsoft professional ...

New

ConnexPay

Enterprise Support Engineer II

Phoenix, AZ · Remote

Remote - U.S.-Based | Atlanta, GA | Dallas, TX Job Type : Full-Time Reports To : VP of IT ... Microsoft Azure services * ITIL certification * CompTIA certification * Microsoft professional ...

New

Circle

Staff Software Engineer

Phoenix, AZ · On-site +1

$195K - $257K/yr

Cloud services (AWS, Google Cloud, Microsoft Azure, etc) * Container orchestration systems like ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Circle

Senior Software Engineer

Phoenix, AZ · On-site +1

$152K - $205K/yr

Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc). * Experience with SQL ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

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All JobsMicrosoft Azure JobsRemote Microsoft Azure JobsRemote Microsoft Azure Jobs in Arizona

Remote Microsoft Azure information

What is a remote Microsoft Azure job?

Remote Microsoft Azure jobs are positions that involve working with Microsoft's cloud computing platform, Azure, from a location outside of a traditional office setting. These roles can include cloud engineering, architecture, development, administration, and support, all performed remotely. Professionals in these jobs manage cloud infrastructure, develop Azure-based applications, and ensure security and scalability for organizations. Remote Azure roles are increasingly popular due to the flexibility they offer and the growing demand for cloud expertise. They often require certifications and experience with various Azure services.

How do remote Microsoft Azure professionals typically collaborate with on-site teams to ensure successful cloud deployments?

Remote Microsoft Azure professionals often use a mix of collaboration tools such as Microsoft Teams, Azure DevOps, and shared documentation platforms to stay aligned with on-site teams. Regular virtual meetings, clear communication channels, and defined project milestones help ensure everyone is updated on progress and any issues are addressed promptly. Leveraging cloud-based dashboards, remote Azure engineers can monitor deployments in real time and provide immediate support or troubleshooting. Building strong relationships with on-site colleagues and proactively sharing updates are key to overcoming the challenges of remote work and ensuring successful Azure cloud projects.

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

To thrive as a Remote Microsoft Azure professional, you need expertise in cloud computing, Azure services, and infrastructure management, often demonstrated through a degree in IT or computer science and Azure certifications (such as AZ-104 or AZ-900). Familiarity with tools like Azure Portal, PowerShell, ARM templates, and monitoring systems is typically required. Strong problem-solving, communication, and self-motivation skills help you collaborate remotely and address complex issues efficiently. These skills ensure reliable cloud solutions, effective teamwork, and the ability to adapt quickly in a dynamic remote work environment.

What is the difference between Remote Microsoft Azure vs Cloud Engineer?

AspectRemote Microsoft AzureCloud Engineer
CertificationsAzure Certifications (e.g., AZ-104, AZ-303)Cloud certifications (e.g., AWS, Azure, Google Cloud)
Work EnvironmentRemote or hybrid, focused on Azure cloud platformRemote, hybrid, or on-site, covering multiple cloud platforms
Industry UsagePrimarily in organizations using Microsoft AzureAcross various industries using multiple cloud providers
Job FocusDesigning, implementing, and managing Azure cloud solutionsDesigning and managing cloud infrastructure across platforms

Remote Microsoft Azure roles typically focus on managing Azure-specific cloud solutions, requiring Azure certifications and often offering remote work options. Cloud Engineers may work across multiple cloud platforms, with broader responsibilities in cloud infrastructure. While both roles involve cloud management, Remote Microsoft Azure positions are specialized in Azure, whereas Cloud Engineers have a more generalist scope across cloud providers.

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

The most popular types of Microsoft Azure jobs in Arizona are:

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

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

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

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

What cities in Arizona are hiring for Remote Microsoft Azure jobs?

Cities in Arizona with the most Remote Microsoft Azure job openings:

Remote Microsoft Azure jobs near you

Azure AI Foundry Architect

Scottsdale, AZ • Remote

Bounteous
IT Services • 201 - 500 employees
Learn more about Bounteousexternal

$64 - $83.25/hr

Full-time

Posted 2 days ago

New

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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