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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

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 ...

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 ...

AI Architect

Richmond, VA ยท Remote

$65 - $84.75/hr

Job Title: AI Architect (Azure Cloud) Location: Remote (USA) Duration: Long Term Contract ... Collaborate with Data Engineering teams to design data pipelines using Azure Data Factory, Azure ...

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 ...

Azure AI Solution Architect

$65 - $84.75/hr

Description Azure AI & Databricks Solution Architect Position Overview We are seeking a highly ... Data Engineering & Analytics * Design and optimize large-scale ETL/ELT pipelines using Azure Data ...

New

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 ...

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 ...

Senior AI Architect

Phoenix, AZ ยท Remote

$132K - $180K/yr

Remote Duration: Long-term Contract Interview: Microsoft Teams Position Overview The State of Ohio ... Azure AI Language Service * Google Dialogflow CX * Google Conversational Agents / Google CCAI ...

New

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: ...

AI Engineer

Columbus, OH ยท On-site +1

Remote Description: AI Engineer Role : The client is seeking an experienced AI Engineer, with ... Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot Studio. Ability to ...

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 ...

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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 Jul 31, 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.
More about Azure Ai Engineer Remote jobs
What cities are hiring for Azure Ai Engineer Remote jobs? Cities with the most Azure Ai Engineer Remote job openings:
What are the most commonly searched types of Azure Ai Engineer jobs? The most popular types of Azure Ai Engineer jobs are:
What states have the most Azure Ai Engineer Remote jobs? States with the most job openings for Azure Ai Engineer Remote jobs include:
Infographic showing various Azure Ai Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Senior Azure AI Foundry Engineer

Interon IT Solutions

Chantilly, VA โ€ข Remote

$61.50 - $79.75/hr

Contractor

Posted 8 days ago


Job description

#W2 Role
ย 
Senior Azure AI Foundry Engineer
Location: Remote
Employment Type: W2 Contract
Experience: 8+ Years
ย 
Job Description
We are seeking an experienced Azure AI Foundry Engineer to design, develop, and deploy enterprise-grade generative AI solutions on the Microsoft Azure platform. The ideal candidate should have strong experience with Azure AI Foundry, Azure OpenAI, Retrieval-Augmented Generation, AI agents, Python, and cloud-native application development.
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Key Responsibilities
Design and develop generative AI applications using Azure AI Foundry and Azure OpenAI.
Build Retrieval-Augmented Generation solutions using Azure AI Search, vector databases, embeddings, and enterprise data sources.
Develop AI agents capable of interacting with APIs, databases, documents, and other business systems.
Design prompt workflows, system instructions, tool-calling processes, and multi-step agent workflows.
Develop backend AI services and APIs using Python, FastAPI, Flask, or similar frameworks.
Integrate structured and unstructured data from Azure Data Lake, Blob Storage, SQL databases, SharePoint, and enterprise applications.
Implement document ingestion, chunking, embedding, indexing, retrieval, and response-generation pipelines.
Evaluate AI applications for response accuracy, relevance, groundedness, safety, latency, and overall performance.
Implement responsible AI controls, content filtering, prompt-injection protection, access controls, and data-security standards.
Monitor AI applications using Azure Monitor, Application Insights, logging, tracing, and Foundry observability capabilities.
Deploy and manage AI solutions using Azure Functions, Azure App Service, Azure Container Apps, AKS, or similar Azure services.
Build automated CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaborate with data engineers, data scientists, architects, business analysts, and product teams.
Troubleshoot issues related to model responses, data retrieval, integrations, application performance, and cloud deployment.
Prepare technical design documents, architecture diagrams, deployment guides, and operational documentation.
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Required Skills
8+ years of overall software engineering, data engineering, cloud, or AI development experience.
Strong hands-on experience with Azure AI Foundry or Microsoft Foundry.
Experience with Azure OpenAI models, embeddings, chat completions, and model deployments.
Strong experience developing RAG-based applications.
Hands-on experience with Azure AI Search, vector search, semantic search, and hybrid search.
Strong programming experience with Python.
Experience developing REST APIs using FastAPI, Flask, or similar frameworks.
Experience with prompt engineering, function calling, tool calling, and AI agent development.
Understanding of LLM evaluation, hallucination reduction, groundedness, responsible AI, and content safety.
Experience with Azure services such as Blob Storage, Data Lake, Key Vault, Functions, App Service, Container Apps, AKS, and Application Insights.
Experience working with SQL, NoSQL, document databases, or vector databases.
Experience with Git, Azure DevOps, GitHub Actions, Docker, and CI/CD processes.
Strong communication, analytical, troubleshooting, and documentation skills.
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Preferred Skills
Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or Microsoft Agent Framework.
Experience with Azure Machine Learning, Microsoft Fabric, or Azure Data Factory.
Experience building conversational AI, enterprise copilots, or intelligent document-processing solutions.
Knowledge of model evaluation, red-team testing, prompt-flow testing, and AI application monitoring.
Experience implementing Microsoft Entra ID, managed identities, RBAC, private endpoints, and enterprise security controls.
Microsoft Azure AI Engineer or Azure Solutions Architect certification is preferred.