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Manager Azure Ai Jobs in Edison, NJ (NOW HIRING)

Sidram Technologies

Azure Architect on w2

New York, NY · On-site

$69.50 - $90.50/hr

Candidate should have experience with Azure API Management (APIM), Azure App Insights, and Azure Function Apps development * Candidate should have Azure AI foundry experience - RAG Pipelines, GenAI ...

Velocity Search Group

Enterprise AI Architect

Manhattan, NY · On-site

$76 - $98/hr

... AKS, Azure Storage, and API Management. • Hands-on experience with Azure AI Foundry including prompt flows, AI agents, evaluations, and AI lifecycle management. • Experience designing and ...

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All JobsAzure Ai JobsManager Azure Ai JobsManager Azure Ai Jobs in Edison, NJ

Manager Azure Ai information

See Edison, NJ salary details

$11

$60

$82

How much do manager azure ai jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for manager azure ai in Edison, NJ is $60.46, according to ZipRecruiter salary data. Most workers in this role earn between $54.76 and $67.93 per hour, depending on experience, location, and employer.

What is the difference between Manager Azure Ai vs Data Scientist?

AspectManager Azure AiData Scientist
Required CredentialsAzure certifications, leadership experienceStatistics, programming, data analysis skills
Work EnvironmentTeam management, cloud platform oversightData analysis, model development, research
Industry UsageAI project management in cloud servicesData modeling and insights in various sectors

The Manager Azure Ai primarily oversees AI projects on the Azure platform, focusing on team coordination and cloud solutions. In contrast, Data Scientists analyze data, develop models, and generate insights. While both roles require technical knowledge, the Manager Azure Ai emphasizes leadership and cloud expertise, whereas Data Scientists focus on data analysis and modeling.

Is Manager Azure AI in demand?

Manager Azure AI roles are in high demand as organizations increasingly adopt cloud-based AI solutions and require professionals skilled in Azure services, AI development, and team management. These positions often require expertise in cloud platforms, AI tools, and certifications like Azure AI Engineer Associate, reflecting a growing need for leadership in AI projects within the cloud environment.

What jobs can I get with Manager Azure Ai certification?

With a Manager Azure AI certification, you can pursue roles such as AI project manager, cloud solutions manager, or AI team lead, focusing on deploying and managing AI solutions on Azure. These roles typically require strong knowledge of Azure services, AI development, and team coordination skills.

What are popular job titles related to Manager Azure Ai jobs in Edison, NJ?

For Manager Azure Ai jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Manager Azure Ai jobs in Edison, NJ look for?

The top searched job categories for Manager Azure Ai jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Manager Azure Ai jobs?

Cities near Edison, NJ with the most Manager Azure Ai job openings:

Manager Azure Ai jobs near you
Infographic showing various Manager Azure Ai job openings in Edison, NJ as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,759 per year, or $60.5 per hour.

Enterprise Architect (.NET, React, Azure & AI)

Accord Technologies Inc.

Warren, NJ • On-site

$66 - $86/hr

Contractor

Re-posted 13 hours ago

Job description

Job Title: Enterprise Architect (.NET, React, Azure & AI)
Location: Warren, NJ (Day 1 onsite)
Position type: W2 contract 

Role Summary

We are seeking a highly accomplished Enterprise Architect with deep expertise in Microsoft technologies (.NET, React, Azure) and a strong understanding of Enterprise Architecture, Cloud Transformation, and AI-driven software engineering. The ideal candidate will define enterprise architecture strategies, lead modernization initiatives, establish technology governance, and drive the adoption of AI to accelerate software development, improve operational efficiency, and deliver intelligent business solutions.

The Enterprise Architect will work closely with business leaders, product teams, and engineering organizations to build scalable, secure, cloud-native solutions while enabling AI-powered innovation across the enterprise.

Key Responsibilities

  • Define and maintain the enterprise architecture roadmap aligned with business and digital transformation objectives.
  • Architect enterprise-scale solutions using .NET 8+, ASP.NET Core, React, and Microsoft Azure.
  • Lead application modernization initiatives, including migration from legacy .NET Framework applications to cloud-native microservices.
  • Establish architecture standards, governance frameworks, and technology best practices.
  • Drive cloud adoption using Azure PaaS, Containers, Kubernetes, and Serverless technologies.
  • Design scalable APIs, microservices, and event-driven architectures.
  • Lead architecture reviews, solution governance, and technology evaluations.
  • Collaborate with business stakeholders to translate strategic objectives into technology roadmaps.
  • Mentor Solution Architects, Technical Leads, and Engineering teams.
  • Champion DevSecOps, platform engineering, observability, and automation.
  • Drive AI adoption across software engineering, architecture, and business processes.

Technical Skills

Microsoft Technologies

Backend

  • C#,
  • .NET 6/7/8,
  • ASP.NET Core,
  • Web API,
  • Entity Framework Core,
  • gRPC,
  • SignalR,

Frontend

  • React,
  • TypeScript,
  • JavaScript (ES6+),
  • Redux,
  • Material UI,
  • HTML5,
  • CSS3,

Azure Cloud

  • Azure App Services,
  • Azure Kubernetes Service (AKS),
  • Azure Functions,
  • Azure API Management,
  • Azure Service Bus,
  • Azure Event Grid,
  • Azure Event Hubs,
  • Azure SQL Database,
  • Azure Cosmos DB,
  • Azure Storage,
  • Azure Key Vault,
  • Azure Monitor,
  • Application Insights,
  • Azure Front Door,
  • Azure Load Balancer,

Enterprise Architecture

  • TOGAF,
  • Domain-Driven Design,
  • Microservices,
  • Event-Driven Architecture,
  • API First Design,
  • Clean Architecture,
  • CQRS,
  • Enterprise Integration Patterns,
  • High Availability & Disaster Recovery,