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Remote Azure Cloud Security 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 ... Experience collaborating with enterprise architecture, security, and cloud engineering teams.

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 ... Experience collaborating with enterprise architecture, security, and cloud engineering teams.

Senior DevSecOps Engineer

Phoenix, AZ · On-site +1

$113K - $155K/yr

Responsibilities Security Engineering & Cloud Security * Design, implement, and continuously improve secure Azure cloud architectures, networking, governance, and infrastructure to support scalable ...

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ...

Data Security Consultant

Yuma, AZ · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... Azure. * Cross-functional collaboration - Partner with technology teams, risk management ...

Sales Engineer - Pacific Mountain

Phoenix, AZ · On-site +1

$225K - $275K/yr

AWS Cloud Security Engineer or Architect * Azure Administrator Associate * Azure Security Engineer Associate * Azure Solutions Architect * CCSP - Certified Cloud Security Professional COMPENSATION ...

Security Firewall Engineer

Phoenix, AZ · On-site +1

$47.50 - $63.50/hr

... remote access, and routing technologies. The ideal candidate should possess strong design and ... Experience with Azure Firewall design, implementation, and operations * Expert-level knowledge of ...

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Remote Azure Cloud Security information

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

AspectRemote Azure Cloud SecurityRemote Cloud Security Engineer
CertificationsAzure Security Engineer Associate, AZ-500CompTIA Security+, CISSP, CCSP
Work EnvironmentPrimarily Azure cloud platform, Microsoft ecosystemVarious cloud platforms like AWS, Azure, GCP
Industry UsageOrganizations using Microsoft AzureOrganizations across multiple cloud providers
Job FocusAzure-specific security solutions and complianceBroader cloud security strategies and implementations

Remote Azure Cloud Security specialists focus on securing Microsoft Azure environments, often requiring Azure-specific certifications. In contrast, Remote Cloud Security Engineers work across multiple cloud platforms, emphasizing broader security practices. Both roles involve protecting cloud infrastructure but differ in platform specialization and certification requirements.

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

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

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

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

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

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

Infographic showing various Remote Azure Cloud Security job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.

Azure AI Foundry Architect

Bounteous

Scottsdale, AZ • Remote

$64 - $83.25/hr

Full-time

Posted 9 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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