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Remote Azure Engineer Jobs in Dearborn, MI (NOW HIRING)

LOGGING IN COM LLC

IOS Developer

Farmington, MI · Remote

$51 - $70/hr

IOS/Andriod Developer Remote 1 Year * 6+ years of experience developing publicly available iOS apps ... Jenkins, Azure DevOps, and XCode toolchain * Experience working in a team of iOS developers ...

LOGGING IN COM LLC

IOS Developer

Farmington, MI · Remote

$51 - $70/hr

IOS/Andriod Developer Remote 1 Year * 6+ years of experience developing publicly available iOS apps ... Jenkins, Azure DevOps, and XCode toolchain * Experience working in a team of iOS developers ...

GDI Infotech

Level 3 Service Desk Support

Ann Arbor, MI · Remote

This is a remote position. IT Support Engineer II (Remote) - Managed Services (MSP) About the Role ... Support and administer Microsoft 365, Azure, and other cloud-based solutions * Diagnose and resolve ...

Actalent

Senior Software Engineer

Southfield, MI · On-site +1

$57 - $70/hr

Experience deploying or operating systems within cloud environments such as AWS, Azure, or Google ... Work Environment This position follows a hybrid work schedule, with remote work on Mondays and ...

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$23

$49

$70

How much do remote azure engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote azure engineer in Dearborn, MI is $49.27, according to ZipRecruiter salary data. Most workers in this role earn between $39.76 and $57.21 per hour, depending on experience, location, and employer.

What is a remote Azure engineer?

A Remote Azure Engineer is an IT professional who specializes in designing, implementing, and managing cloud solutions using Microsoft Azure while working remotely. They collaborate with teams to build scalable cloud infrastructure, optimize performance, and ensure security. Responsibilities often include deploying virtual machines, configuring networking, automating workflows, and monitoring cloud environments. Strong expertise in Azure services, infrastructure as code, and security best practices is essential for this role.

What does a remote Azure engineer do?

As a Remote Azure Engineer, your daily tasks often include provisioning and managing cloud infrastructure, monitoring system performance, implementing security and compliance measures, and supporting application deployments. You may collaborate with development teams to optimize cloud solutions, troubleshoot incidents, and automate routine tasks using scripts and tools. Communication with cross-functional teams is key, as you'll help translate business needs into technical solutions and provide Azure expertise. Most remote roles also require proactive documentation and participation in virtual meetings to ensure alignment and effective project delivery.

What are the key skills and qualifications needed to thrive as a remote Azure engineer?

To thrive as a Remote Azure Engineer, you need strong expertise in cloud computing, Azure infrastructure, scripting (such as PowerShell or Azure CLI), and a background in IT or computer science. Familiarity with Azure DevOps, ARM templates, and certifications like Microsoft Certified: Azure Solutions Architect Expert are highly valued. Excellent problem-solving, communication, and self-management skills distinguish top performers, especially when working remotely. These qualifications enable effective deployment, management, and troubleshooting of Azure environments while collaborating with distributed teams.

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Remote Azure Engineer jobs near you

AI Architect (with Azure)-Remote : Contract on w2

Marvel Technologies Inc

Southfield, MI • Remote

$65 - $84.75/hr

Contractor

Re-posted 9 days ago

Job description

Job Title :  AI Architect (with Azure)

Location :   Remote-USA

Duration : Long Term Contract

Contract on w2

Domain- Preferred Insurance.

Experience: 15+ years

Role Overview:

We are seeking a highly skilled AI Azure Architect to lead the architecture and technical strategy for AI programs across insurance and other regulated industries. The AI Architect will own and define reference architectures for Retrieval-Augmented Generation (RAG), Conversational AI, Document Intelligence, and Agentic AI, ensuring solutions are scalable, secure, compliant, and deliver measurable business value on AWS cloud/Azure Cloud.

Key Responsibilities:

  • Define end-to-end AI architectures covering ingestion → storage → retrieval → reasoning → action → monitoring.
  • Own and evolve reference architectures for Document AI, Conversational AI, and Agentic AI.
  • Specify non-functional requirements (latency, throughput, privacy, compliance, observability, cost).
  • Select and justify AWS-native AI/ML services (Bedrock, SageMaker, Kendra, OpenSearch, etc.) and third-party tools.

OR

  • Select and justify Azure-native AI/ML Services - Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Azure Blob Storage, Azure AI Search, Azure Cognitive Services, Service Principals, and Azure Agent (critical for agentic workflows).
  • Govern prompt/version management, enforce safety policies, and manage controls for prompt injection and PII protection.
  • Lead PoCs to production with AWS-based templates and golden paths.
  • Collaborate with stakeholders; mentor engineers; conduct design/code reviews.
  • Establish measurement frameworks (hallucination rate, groundedness, answer quality, CSAT, deflection).
  • Ensure seamless AWS/Azure enterprise integrations with insurance platforms (policy, claims, underwriting).

Required Skills & Experience:

  • 15+ years in AI/ML software, 3–5+ years in solution/enterprise architecture.
  • Proven experience designing AI systems at enterprise scale on AWS/Azure.
  • Hands-on with AWS Bedrock, SageMaker, Lambda, Kendra, OpenSearch, Redshift, DynamoDB, S3.

OR

  • Hands on Azure AI Foundry, Azure SDK, Cosmos DB, Azure OpenAI, Service Principals, Azure Blob, Azure AI Search, Azure Cognitive Services, and Azure Agent.
  • Expertise in LLMs, vector databases, RAG pipelines, and agentic workflows.
  • Strong multi-cloud cost/latency tradeoff knowledge.
  • Excellent communication, stakeholder engagement, and blueprinting skills.
  • Insurance industry experience strongly preferred (FNOL, claims adjudication, underwriting, billing, policy servicing).