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From Home Azure Ai Jobs (NOW HIRING)

Tetra Computing

AI Architect

Austin, TX · On-site

$63 - $82/hr

All except H1B and CPT Work arrangement is onsite from Monday to Thursday and remote on Fridays. ... Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX Lead ...

New

Infinite Services

NY · On-site

$120 - $150/hr

About the role We are looking for a Senior Azure Data & AI Engineer to join a high‑impact project ... Design and implement data ingestion pipelines from multiple cloud data sources - including ...

TEKsystems

Practice Architect-AI/ML

Hanover, MD · Remote

$136K - $204K/yr

High performers in this role will have clear pathways to advance to the AI Enhanced Azure Platform Practice Architect II level and beyond, with access to mentorship from lead architects, sponsored ...

Kforce Technology Staffing

AI Architect

Houston, TX · On-site

$60.75 - $79/hr

Kforce has a client that is seeking an AI Architect in Houston, TX. REQUIREMENTS: * Application ... and Azure PaaS services while leading large-scale migrations from on-premises environments to the ...

New

GRP SCAN Group

Principal AI Architect

Long Beach, NY · On-site

$147.90 - $254.80/hr

... from model hosting and vector databases to API orchestration and MCP servers. This role bridges ... Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake ...

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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:
From Home Azure Ai jobs near you
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.

Senior Copilot & Azure AI Foundry Engineer

Hearst Television

Charlotte, NC • On-site

$117K - $161K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description


Hearst Television (HTV) is hiring a Senior Copilot & Azure AI Foundry Engineer to lead the build of our next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft's Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence. This position does not provide sponsorship.
What You'll Do
• Copilot Optimization: Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
• Generative AI Modernization: Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
• Advanced RAG Implementation: Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
• Sophisticated AI Features: Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
• End-to-End MLOps: Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
• Architectural Leadership: Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
• Operational Enablement: Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.
Requirements
• Experience: 8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
• AI Ecosystem: Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry (formerly Azure AI Studio).
• Technical Proficiency: Expert-level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred.
• AI Specialization: Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
• MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
• Problem Solving: Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
• Soft Skills: Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.
Values in Action
At Hearst Television we tell stories every day. Stories about people of all backgrounds, perspectives, and identities. That's why, behind the scenes, we believe in being an organization that fosters collaboration and open communication, ensuring that the content we create is authentic, accurate, and connected to the communities we serve.
Benefits
Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following benefits:
• Medical | Dental | Vision
• 401(k) matching
• Emotional Wellness Support
• Paid Time Off & Parental Leave
• LGBTQ+ Health Services

Apply