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Azure Ai Engineer Remote Jobs in Boston, MA (NOW HIRING)

NAVA Software Solutions

AI Engineer - Remote

Boston, MA · On-site +1

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 ...

YO AI Labs

AI Engineer - Remote

Boston, MA · 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 ...

YO AI Labs

AI Engineer - Remote

Boston, MA · 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 ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

YO AI Labs

AI/ML Engineer - Remote

Boston, MA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

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Azure Ai Engineer Remote information

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

As of Sep 6, 2026, the average hourly pay for azure ai engineer remote in Boston, MA is $58.26, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $67.64 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.

What are the most commonly searched types of Azure Ai Engineer jobs in Boston, MA?

The most popular types of Azure Ai Engineer jobs in Boston, MA are:

What are popular job titles related to Azure Ai Engineer Remote jobs in Boston, MA?

For Azure Ai Engineer Remote jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Azure Ai Engineer Remote jobs in Boston, MA look for?

The top searched job categories for Azure Ai Engineer Remote jobs in Boston, MA are:

What cities near Boston, MA are hiring for Azure Ai Engineer Remote jobs?

Cities near Boston, MA with the most Azure Ai Engineer Remote job openings:

Azure Ai Engineer Remote jobs near you

AI Engineer - Remote

NAVA Software Solutions

Boston, MA • On-site, Remote

Contractor

Re-posted 5 days ago

Job description

NAVA Software is looking for an AI Engineer
Details:
AI Engineer
Location: 100% Remote
Duration: 6+ month contract-to-hire
Interviews: 2 rounds
Top Requirements:
  • Implemented GraphRag in AI/ML products (production deployments).
  • Strong Azure cloud experience.
  • Python/PySpark, Java programming.
  • Experience building UI with React/Angular, HTML, CSS, JavaScript.
  • Knowledge graph implementation (Neo4j preferred).
    LLM optimization & improved response handling.

Responsibilities:
  • Design, develop, and deploy Decision Intelligence & AI-enabled products.
  • Work in Agile teams with engineers, scientists, product managers.
  • Guide architecture, infrastructure, and tools for AI/ML products.
  • Develop rapid prototypes and scale solutions in production.
  • Build MLOps pipelines for structured/unstructured data.
  • Implement observability, monitoring, and compliance with HIPAA/security standards.
  • Mentor engineers and drive innovation.

Preferred Skills:
  • Contributions to open-source AI/ML projects.
  • Healthcare industry knowledge.
  • Experience with medical terminology & clinical workflows.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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