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Azure Ai Engineer Remote Jobs (NOW HIRING)

The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining ... Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

AI Engineer

$100K - $140K/yr

AI Engineer Location: Remote (US or Canada) Rate: $90,000-$140,000 USD (rates vary in Canada ... Support configuration and testing of intelligent agents across cloud (Azure) environments.

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 ...

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 ...

$28 - $30/hr

AI Engineer Location: Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour ... Leverage and optimize Azure AI services (OpenAI, Cognitive Search, Document AI, Vector DB, etc.

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: ...

We are looking for a builder-oriented AI Engineer to design, develop, and deploy enterprise AI ... You will leverage tools like Azure AI Foundry, Azure AI Studio, Snowflake, dbt, and workflow ...

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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 Jun 20, 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 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.

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 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.

What are Azure AI Engineers?

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.
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Job description

 

Hi, This is Srikanth from Reliable Software. We have an opportunity with one of our direct clients, and I''d like to share the details with you. Please review the information below and let me know if you''re interested. Kindly share your updated resume if you''d like to be considered.

 

Job Title: Azure AI Engineer

Location: Remote (50% travel required & preferred local to Michigan) 

 Qualifications:
  • Design and develop AI-powered document processing solutions using Azure AI services.
  • Build and optimize integrations with Azure OpenAI, Document Intelligence, and AI Foundry.
  • Develop Python-based services for classification, extraction, and remediation workflows.
  • Create and refine prompts to improve AI accuracy and performance.
  • Integrate AI services with enterprise applications and data sources.
  • Monitor model performance and recommend improvements for scale and cost optimization.
  • Collaborate with platform and data engineering teams on end-to-end solution delivery.

 

Educational Qualifications:

·         Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.

·         Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

 

Travel:

·         Open to travel based-up on the nature of the engagement.

 

 

Thanks & Regards

Srikanth Donkani

Resource Manager

(w):

(E):

2260 Haggerty Road, Suite 285 Northville, MI 48167

 

Equal Employment Opportunity

Reliable Software employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law.

Employment decisions are based solely on qualifications, merit and business needs.