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Azure Ai Engineer Remote Jobs (NOW HIRING)

Answer Financial Inc.

AI Engineer-Remote Opportunity

$120K - $199K/yr

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.

Cyclotron, Inc.

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.

Cyclotron, Inc.

AI Engineer

Chicago, IL · Remote

$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.

EffOne Technologies

Be Seen First

Azure AI Foundry Architect

Arlington, VA · Remote

$50 - $80/hr

... Platform Engineering and DevOps. The ideal candidate will have expertise in Azure AI Foundry, GCP Cloud Run, and M365 services. Duration: 6 to 18+ months Contract Location: Remote, USA Key ...

NAVA Software Solutions

AI Engineer -Remote

Houston, TX · On-site +1

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 ...

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 ...

Huzzle

AI Engineer - Remote

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 ...

Huzzle

AI Engineer - Remote

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 ...

CoreTrust Purchasing Group

AI Engineer

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 ...

Qualysoft

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: ...

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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 Jul 10, 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:
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Azure Ai Engineer Remote jobs near you
Infographic showing various Azure Ai Engineer Remote job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
AI Engineer-Remote Opportunity

AI Engineer-Remote Opportunity

Answer Financial Inc.

Remote

$120K - $199K/yr

Full-time

Posted 10 days ago

Job description

Answer Financial is an Allstate company with 25+ years in the industry and one of the nation's largest and longest running personal lines insurance agencies. We are 100% remote - work from home company.
The AI Engineer (Remote) is responsible for designing, developing, deploying, and maintaining enterprise-grade AI and machine learning (ML) solutions that integrate seamlessly across the company's technology ecosystem - including Microsoft Copilot Studio, Power Platform, and AWS-based ML environments.
This hybrid role bridges AI/ML development, agentic AI orchestration, and MLOps infrastructure, ensuring that models and intelligent agents are secure, scalable, and business-aligned.
The position advances the company's use of AI across all internal and external customer experiences by:
  • Building and operationalizing AI models and copilots that augment business workflows.
  • Integrating models into Microsoft Copilot Studio, Power Apps, and Power Automate.
  • Managing the lifecycle of models deployed through AWS SageMaker, Azure ML, or internal APIs.

Essential Job Duties/Responsibilities:
A. AI / ML & Agentic AI Engineering
  • Design, fine-tune, and deploy AI/ML models, including LLMs and retrieval-augmented generation (RAG) pipelines.
  • Develop and maintain custom Copilots and intelligent agents within Microsoft Copilot Studio that interact with enterprise data and APIs.
  • Implement Power Platform integrations (Power Apps, Power Automate, Power Virtual Agents) for business-facing AI workflows.
  • Collaborate with data scientists to transform prototypes into production-grade, secure, and compliant solutions.
  • Build domain-specific AI skills and agents tailored to insurance and financial processes.

B. MLOps / Platform Engineering
  • Develop and automate ML pipelines for training, deployment, and monitoring on AWS SageMaker and Azure ML.
  • Manage CI/CD for AI models and Copilot plugins using MLflow, Airflow, Docker, and Kubernetes.
  • Implement monitoring for Copilot-based and standalone AI agents, capturing performance, drift, and usage analytics.
  • Integrate AI governance frameworks ensuring auditability, explainability, and data privacy compliance.

C. Collaboration and Support
  • Partner with software engineering and Power Platform teams to embed AI services into core business systems.
  • Collaborate with IT and Security on Copilot extensions and secure connectors for enterprise data.
  • Mentor junior AI engineers on cloud AI tools, Copilot integration, and MLOps best practices.

Experience:
Required
  • 2-5 years combined experience in software engineering, ML, and/or MLOps.
  • Proven success deploying AI/ML models in Microsoft or AWS environments.
  • Strong proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), and API integration.
  • Hands-on experience with Microsoft Copilot Studio, Power Automate, and Power Apps development.
  • Experience deploying AI pipelines in AWS SageMaker or Azure ML.
  • Familiarity with LLM-based copilots, agent orchestration, and prompt engineering.

Preferred
  • Experience connecting Copilot agents to proprietary datasets via secure connectors or APIs.
  • Knowledge of vector databases (Pinecone, FAISS) and RAG architectures.
  • Familiarity with Azure OpenAI Service, Dataverse, and Microsoft Graph APIs.
  • Background in financial or insurance domain AI use cases.

Education:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field.

Certifications (Preferred):
  • Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • Microsoft Certified: Power Platform Solution Architect / Developer Associate
  • AWS Certified Machine Learning - Specialty
  • Microsoft Copilot Studio or AI Builder training credentials

Physical Requirements:
  • Representative of those that must be met by an employee to successfully perform the essential function of the job. Must be able to operate a PC, other relevant office tools/equipment, sit for extended periods, and/or occasionally stand for extended periods, lead training classes and travel. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Compensation:
Compensation offered for this role is $120,000.00-$199,200.00 annually and is based on experience and qualifications.
***Technical Requirements for Employment:
  • Reliable high-speed internet with wired connection (Ethernet)
  • Dedicated, distraction-free home workspace (equipment provided).

Answer Financial provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.
Candidates must possess authorization to work in the United States, as it is not our practice to sponsor individuals for work visas.
Answer Financial is an equal opportunity employer.

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