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Azure Ai Engineer Remote Jobs (NOW HIRING)

Azure AI Foundry Architect

Scottsdale, AZ ยท Remote

$64 - $83.25/hr

Bounteous is a global AI Services firm where agentic engineering and human experience converge to ... Job Title: Azure AI Foundry Architect Location: Remote (Onshore Preferred - 5 days onsite ...

AI Engineer

OR ยท On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain ...

Job Title: AI Engineer - Generative AI Location: Canada or Mexico (Remote) Job Type: Contract ... Azure Functions Location & Work Model Fully remote - open to candidates based in Canada or Mexico.

Azure AI Solutions Architect

San Jose, CA ยท Remote

$74.50 - $97/hr

Azure AI Solutions Architect (Remote USA) * ๏ปฟFull-time, direct employment * ๏ปฟRemote - USA ... Bachelor's degree in Computer Science, Engineering, or a related field. * Minimum of 5 years of ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Requirement: * Implemented ... Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ...

AI Engineer Location: 100% Remote Duration: 6+ month contract-to-hire Interviews: 2 rounds Top ... Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ...

Microsoft AI Engineer

Omaha, NE ยท Remote

$10 - $15/hr

Azure OpenAI Service * Azure AI Search * Prompt Engineering * Agentic AI Workflows * RAG ... Location: 100% Remote Job Type & Location This is a Contract position based out of Omaha, NE. Pay ...

Knowledge of cloud platforms such as AWS, GCP, or Azure. * Experience building REST APIs and ... engineering, and scalable AI system design Direct collaboration with a fast-moving, high ...

Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. * Understanding ... engineering, and scalable AI system design Direct collaboration with a fast-moving, high ...

AI Engineer (Remote, US) - Contract (6+ Months) About the Role Join a dynamic, remote-first team ... Azure, utilizing App Service, Storage, Key Vault, and similar resources - Leverage coding ...

Der Azure AI / ML Engineer unterstutzt Fachbereiche und IT-Teams bei der Umsetzung innovativer KI ... Hybrid - ca. 50 % vor Ort in Wien, ca. 50 % remote Projektsprache: Deutsch und Englisch Aufgaben: ...

... s Engineer (Remote, USA) Location: Remote, USA Employment type: Contract Indicative rate: $80-$90 ... Experience with AI and data initiatives * Familiarity with Microsoft Azure services like Azure ...

AI Engineer Role: JFS is seeking an experienced Artificial Intelligence (AI) Engineer, who ... Familiarity with Azure services like Azure Bot Service, Azure AI Search, Azure AI Language Service ...

Spark Tek Inc is seeking a skilled AI Engineer with expertise in .NET technologies, Microsoft Azure, and Oracle Database. The ideal candidate will design, develop, and deploy AI-driven applications ...

AI Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

AI Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software ...

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Azure Ai Engineer Remote information

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$25

$53

$76

How much do azure ai engineer remote jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for azure ai engineer remote in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

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

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

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Infographic showing various Azure Ai Engineer Remote job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Azure AI Foundry Architect

Scottsdale, AZ โ€ข Remote

Bounteous
IT Servicesย โ€ขย 201 - 500 employees

$64 - $83.25/hr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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.ย Bounteous is willing to sponsor eligible candidates for employment visas.ย 
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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