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From Home Azure Ai Jobs (NOW HIRING)

Azure AI Engineer

Jersey City, NJ · On-site

$57.50 - $71.25/hr

Looking forward to hearing from you! Job Summary: We are seeking an Azure AI Engineer / Developer with minimum 3+ years of hands-on experience in designing, building, and operating AI solutions on ...

NY · On-site

$50.75 - $63/hr

Their responsibilities include participating in all phases of AI solutions development--from ... Azure AI Engineers work with solution architects to translate their vision and with data scientists ...

Azure AI Solution Architect

$65 - $84.75/hr

Design and develop end-to-end AI solutions from concept through deployment and production support ... Azure Data & AI Architecture * Design and implement scalable cloud-native data platforms using ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

... AI solutions in Microsoft Azure ... This role involves overseeing multiple projects throughout the solution life cycle, from design to ...

AI Architect

Irving, TX · On-site

$150K - $201K/yr

Design and implement Azure-based Agentic AI solutions leveraging Azure OpenAI, Azure AI Services ... Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter ...

AI Architect

$65 - $84.75/hr

... from ideation to implementation lead performance finetuning actively participate in RFPs and presales and architect robust solutions leveraging Azure AI services Azure OpenAI Service Azure AI Search ...

NY · On-site

Their responsibilities include participating in all phases of AI solutions development--from ... Azure AI Engineers work with solution architects to translate their vision and with data scientists ...

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From Home Azure Ai information

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How much do from home azure ai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for from home azure ai in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What jobs can I get with from home Azure AI certification?

With an Azure AI certification, you can pursue roles such as AI Developer, Machine Learning Engineer, Data Scientist, or AI Solutions Architect. These jobs typically involve developing and deploying AI models, working with cloud-based AI tools, and require skills in programming, data analysis, and cloud services, often performed remotely in a home office environment.

What is a from home Azure AI job?

A 'From Home Azure AI' job refers to a remote position where professionals work with Microsoft Azure's Artificial Intelligence services and tools from their own homes. These roles often involve developing, deploying, and managing AI solutions on the Azure cloud platform, such as machine learning models, natural language processing, or computer vision applications. Tasks can range from writing code and building data pipelines to integrating AI services into business applications. Such positions are ideal for those with experience in cloud computing, data science, or AI, and they offer the flexibility of working remotely while collaborating with teams online.

What are some typical daily responsibilities for a from home Azure AI engineer?

As a remote Azure AI Engineer, your daily responsibilities often include designing and deploying AI solutions using Azure’s suite of tools, collaborating with cross-functional teams via virtual meetings, and monitoring the performance of AI models in production. You may also spend time troubleshooting issues, optimizing workflows for scalability, and documenting your processes to ensure knowledge sharing across distributed teams. Effective communication and time management are key in a remote setting to maintain alignment with project goals and deadlines.

Is from home Azure AI in demand?

From home Azure AI roles are in demand as organizations increasingly adopt cloud-based AI solutions and remote work arrangements. Skills in Azure cloud services, AI development, and remote collaboration are highly valued in this field.

What are the key skills and qualifications needed to thrive as a from home Azure AI specialist?

To thrive as a Work-from-Home Azure AI Specialist, you need expertise in artificial intelligence concepts, cloud computing, and experience with Microsoft Azure, typically supported by a relevant degree or certifications like Microsoft Certified: Azure AI Engineer Associate. Familiarity with tools such as Azure Machine Learning, Cognitive Services, and DevOps pipelines is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills set candidates apart in this role. These skills enable efficient development, deployment, and management of AI solutions while ensuring collaboration and productivity in a remote work environment.

What is the difference between From Home Azure Ai vs From Home Data Analyst?

AspectFrom Home Azure AiFrom Home Data Analyst
Required CredentialsAzure certifications, programming skillsData analysis certifications, Excel, SQL
Work EnvironmentRemote, cloud-based toolsRemote, data visualization and analysis tools
Industry UsageTech, cloud services, AI projectsBusiness, finance, marketing sectors

From Home Azure Ai focuses on developing and managing AI solutions using Azure cloud services, requiring technical certifications and programming skills. In contrast, From Home Data Analyst involves analyzing data to support business decisions, emphasizing data visualization and statistical skills. Both roles are remote and industry-relevant, but they serve different functions within the tech and business sectors.

What cities are hiring for From Home Azure Ai jobs? Cities with the most From Home Azure Ai job openings:
What are the most commonly searched types of Azure Ai jobs? The most popular types of Azure Ai jobs are:
What states have the most From Home Azure Ai jobs? States with the most job openings for From Home Azure Ai jobs include:
What job categories do people searching From Home Azure Ai jobs look for? The top searched job categories for From Home Azure Ai jobs are:
Infographic showing various From Home Azure Ai job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure AI Engineer

IBOTIX US Inc.

Jersey City, NJ • On-site

$57.50 - $71.25/hr

Other

Posted 16 days ago


Job description

Job Title: Azure AI Engineer

Work Location: New Jersey, New Jersey (Hybrid)
Long Term Contract

If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.

Looking forward to hearing from you!

Job Description

Job Summary:

We are seeking an Azure AI Engineer / Developer with minimum 3+ years of hands-on experience in designing, building, and operating AI solutions on Microsoft Azure. You will develop agentic and modeldriven applications using Azure AI Foundry, Microsoft Copilot (including Copilot Studio and the Copilot Agent Framework), and modern MLOps practices. The role focuses on integrating AI into enterprise systems (including SharePointgrounded RAG) with robust guardrails, security, performance, and scalability.

Job Duties:

  • Design, build, and manage AI applications on Microsoft Azure, using Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, Azure AI Search (Knowledge Mining), and Cognitive Services.
  • Integrate AI models into applications, services, and processes as APIs.
  • Leverage SharePoint content for RAG and MCP integration build pipelines that index enterprise documents, configure vector search, and ground Copilot responses with secure SharePoint data access.
  • Implement Responsible AI guardrails set up safety filters, prompt moderation, content policies, and compliance checks; maintain auditability and incident playbooks.
  • Perform model finetuning using JSONL datasets for generative AI/custom scenarios; manage prompt strategies, grounding, and evaluation.
  • Conduct testing and QA (unit/functional, load/performance, safety tests, prompt safety, regression suites).
  • Document AI development create runbooks, architecture diagrams, and operational playbooks for supportability and audits.
  • Stay current with AI advancements evaluate new Azure capabilities (model catalog updates, agent orchestration, prompt engineering patterns).
  • Ensure compliance and security adhere to data privacy regulations and enterprise policy; use Azure Key Vault, Managed Identity, Private Links, RBAC, Purview, and other security controls.
  • Provide technical leadership and strategic direction for AI initiatives; contribute to platform standards, best practices, and reusable components.

Job Requirements:

Required

  • 3+ years in an Azure AI Engineer / Developer delivering production AI solutions.
  • Expertise in Microsoft Azure and AI services: Azure AI Foundry, Azure Machine Learning, Azure OpenAI Service, Azure AI Search (Cognitive Search), Cognitive Services.
  • Programming experience in C# (APIs, SDKs, automation scripts, serverless functions) and Python
  • SharePoint Online experience for RAG pipelines and MCP integration indexing, metadata enrichment, and secure access patterns.
  • Strong competence with Microsoft Copilot, Copilot Studio, and the Copilot Agent Framework for agentic workflows and enterprise data integration.
  • Prior experience in integrating with Microsoft Graph, SharePoint, Teams, and Power Platform; building Copilot plugins/skills grounded in enterprise content.

Preferred

  • Experience with RAG, vector indexing, and knowledge mining using Azure AI Search; document intelligence with Form Recognizer.
  • Handson MLOps (Azure ML pipelines/registries/endpoints), DevOps (Azure DevOps or GitHub Actions)