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Remote Azure 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 We are seeking an experienced Azure AI Foundry Architect to support our Retail AI team, in ...

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

DevOps Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments. * Review ...

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 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 ...

Security Firewall Engineer

Phoenix, AZ · On-site +1

$47.50 - $63.50/hr

Experience with Azure Firewall design, implementation, and operations * Expert-level knowledge of Cisco AnyConnect Remote Access VPN * Strong routing expertise, including: o BGP o OSPF o ...

Experience with CI/CD tooling (GitHub, BitBucket, Azure DevOps) * Experience with DVCS tooling (Git ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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 ...

Agentic Software Engineer III (Remote) arrivia Remote (US) Full-time About arrivia arrivia ... Working knowledge of Azure AI Foundry, RAG, LangChain, and graph-based data technologies (GraphRAG ...

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Remote Azure information

See Arizona salary details

$56.8K

$96K

$120.2K

How much do remote azure jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote azure in Arizona is $95,984.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $114,200.00 per year, depending on experience, location, and employer.

What is a remote Azure?

A Remote Azure job refers to a position where professionals work from a location outside the traditional office environment, focusing on Microsoft Azure, which is a cloud computing platform. These roles typically involve managing, developing, deploying, or maintaining cloud-based solutions using Azure services and tools. Common job titles include Azure Cloud Engineer, Azure Administrator, or Azure Developer, and tasks may involve configuring virtual machines, managing databases, ensuring cloud security, or automating deployments. Remote Azure professionals use collaboration tools to communicate with their teams and may support clients or internal projects across different time zones.

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

To thrive as a Remote Azure Engineer, you need expertise in cloud computing, networking, and security, typically backed by experience with Microsoft Azure and relevant certifications such as Azure Administrator or Azure Solutions Architect. Familiarity with Azure DevOps, PowerShell scripting, and infrastructure-as-code tools like ARM templates or Terraform is often required. Strong problem-solving skills, self-motivation, and effective remote communication abilities make candidates stand out in this role. These skills and qualities are crucial for ensuring secure, efficient cloud solutions and seamless collaboration in distributed teams.

What are some common challenges faced by remote Azure professionals, and how can they be effectively managed?

Remote Azure professionals often face challenges such as coordinating across distributed teams, managing cloud resources securely, and staying current with frequent Azure platform updates. Overcoming these challenges involves proactive communication using collaboration tools, adhering to best practices for cloud security, and dedicating time for ongoing learning through official Microsoft resources. Regularly participating in team meetings and leveraging automation can also help streamline workflows and ensure alignment with organizational goals.

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

The most popular types of Azure jobs in Arizona are:

What cities in Arizona are hiring for Remote Azure jobs?

Cities in Arizona with the most Remote Azure job openings:

Infographic showing various Remote Azure job openings in Arizona as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $95,984 per year, or $46.1 per hour.

Azure AI Foundry Architect

Bounteous

Scottsdale, AZ • Remote

$64 - $83.25/hr

Full-time

Posted 10 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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