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Azure Ai Engineer Remote Jobs in Park Ridge, IL (NOW HIRING)

Cyclotron, Inc.

AI Architect

Chicago, IL · Remote

$140K - $180K/yr

AI Engineering Location: Remote (US or Canada) Rate: $140,000-$225,000 USD (rates vary in Canada ... Azure OpenAI, Azure AI Foundry / AI Studio, AI Search, Document Intelligence, and at least one ...

Cyclotron, Inc.

AI Architect

Chicago, IL · On-site +1

$140K - $180K/yr

AI Engineering Location: Remote (US or Canada) Rate: $140,000-$225,000 USD (rates vary in Canada ... Azure OpenAI, Azure AI Foundry / AI Studio, AI Search, Document Intelligence, and at least one ...

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All JobsAzure Ai Engineer JobsAzure Ai Engineer Remote JobsAzure Ai Engineer Remote Jobs in Park Ridge, IL

Azure Ai Engineer Remote information

See Park Ridge, IL salary details

$25

$52

$75

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

As of Jul 30, 2026, the average hourly pay for azure ai engineer remote in Park Ridge, IL is $52.77, according to ZipRecruiter salary data. Most workers in this role earn between $42.60 and $61.25 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.
What job categories do people searching Azure Ai Engineer Remote jobs in Park Ridge, IL look for? The top searched job categories for Azure Ai Engineer Remote jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Azure Ai Engineer Remote jobs? Cities near Park Ridge, IL with the most Azure Ai Engineer Remote job openings:
Azure Ai Engineer Remote jobs near you
Infographic showing various Azure Ai Engineer Remote job openings in Park Ridge, IL as of July 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $109,768 per year, or $52.8 per hour.

Azure Developer (OpenAI & RAG Chatbot )

Snowrelic Inc

Deerfield, IL • Remote

$56.25 - $69.75/hr

Full-time

Re-posted 21 hours ago

Job description

We are seeking an experienced Azure Developer with 2-3 years in OpenAI and 8-10 years in development, specializing in Python, FastAPI, and Azure AI Services. The role involves building and optimizing AI-driven chatbots, Retrieval-Augmented Generation (RAG) applications, and cloud-based AI solutions. 

Key Responsibilities 

  • AI & Chatbot Development: Design and deploy RAG-based chatbots using Azure OpenAI, Azure Cognitive Search, and Vector Databases. 

  • API Development: Develop and optimize APIs using FastAPI, integrating with OpenAI, Azure AI, and external systems. 

  • Azure Cloud Development: Implement AI solutions using Azure Functions, Cognitive Services, and Kubernetes (AKS). 

  • POC & Documentation: Rapidly develop POCs and ensure comprehensive documentation. 

  • Performance Optimization: Optimize AI models for efficiency and cost-effectiveness on Azure infrastructure. 

Key Skills 

  • Programming: Python (FastAPI preferred), C# (optional). 

  • Cloud & AI: Azure OpenAI, Cognitive Search, Bot Service, Machine Learning, Cognitive Services. 

  • Database & Search: Azure SQL, CosmosDB, Vector DBs (Pinecone, FAISS, Weaviate). 

  • DevOps & Security: Azure DevOps, Docker, Kubernetes, OAuth, JWT. 

  • Frameworks: LangChain, LLamaIndex, Semantic Kernel (preferred). 

Qualifications 

  • 8-10 years of software development experience with 2-3 years in OpenAI and RAG. 

  • Proven expertise in Azure AI Services and Python (FastAPI). 

  • Strong problem-solving skills, POC development, and ability to work with technical documentation.