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Azure Ai Engineer Remote Jobs in Basking Ridge, NJ

Mondo

AI Engineer

Manhattan, NY ยท Remote

$85 - $110/hr

Remote (U.S. candidates working EST hours) Start Date Is: ASAP Duration: 6 Month Contract ... Experience with Azure AI Foundry. * Experience consuming AI models through AWS, Azure, or GCP.

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Azure Ai Engineer Remote information

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$26

$55

$79

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

As of Jul 26, 2026, the average hourly pay for azure ai engineer remote in Basking Ridge, NJ is $55.27, according to ZipRecruiter salary data. Most workers in this role earn between $44.62 and $64.18 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.
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Azure Ai Engineer Remote jobs near you
AI Engineer

AI Engineer

Mondo

Manhattan, NY โ€ข Remote

$85 - $110/hr

Contractor

Medical, Retirement

Posted 6 days ago

Job description

Apply now: Senior AI Consultant, location is Remote (U.S. candidates working EST hours). The start date is ASAP for this 6 month contract position.

Job Title: Senior AI ConsultantLocation-Type: Remote (U.S. candidates working EST hours)Start Date Is: ASAPDuration: 6 Month ContractCompensation Range: $85/hr โ€“ $110/hr

Job Description:Lead the design, development, and deployment of production-grade AI applications that solve complex enterprise business challenges while helping establish AI engineering best practices.

Day-to-Day Responsibilities:

  • Own AI initiatives from concept through production deployment.
  • Design, build, and maintain production AI applications.
  • Develop internal AI platforms and productivity tools.
  • Build AI-powered applications leveraging enterprise datasets.
  • Design and improve AI evaluation (Evals) frameworks.
  • Develop AI agents and agentic workflows.
  • Prototype new AI capabilities and transition successful solutions into production.
  • Partner with business stakeholders to identify and deliver AI solutions.
  • Build natural language interfaces for structured enterprise data.
  • Contribute to AI engineering standards and technical best practices.
  • Write clean, scalable, production-quality code.

Requirements:

  • Must-Haves:
    • Senior or Staff-level software engineering experience with hands-on coding.
    • Proven experience delivering production AI applications.
    • Strong experience with Large Language Models (LLMs).
    • Experience building AI agents and agentic workflows.
    • Hands-on experience with AI evaluation (Evals) frameworks.
    • Strong prompt engineering skills.
    • Backend or full-stack software development experience (backend preferred).
    • Strong software engineering fundamentals including Git, testing, version control, and clean coding practices.
    • Experience leading technical initiatives while remaining hands-on.
    • Ability to thrive in fast-paced, ambiguous environments.
    • Excellent communication and stakeholder collaboration skills.
  • Nice-to-Haves:
    • Experience with AWS Bedrock.
    • Experience with Azure AI Foundry.
    • Experience consuming AI models through AWS, Azure, or GCP.
    • Experience building natural language interfaces over structured enterprise data.
    • Enterprise software development experience.
    • Full-stack development experience.
    • Experience working in agile, lean engineering teams.
    • Experience balancing startup-style execution within a large enterprise.

Benefits:

This role is eligible to enroll in both Mondo's health insurance plan and retirement plan. Mondo defers to the applicable State or local law for paid sick leave eligibility.