Lead Enterprise Architect for AI-Driven Enterprise Apps

Expedite Talent Solutions

New Jersey

On-site

USD 117,000 - 165,000

Full time

11 days ago

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Job summary

Expedite Talent Solutions is seeking a Technology Specialist to lead end-to-end architecture and design of enterprise applications in Warren, NJ. The role focuses on.NET, Angular, React, Azure, APIs, and microservices, with emphasis on AI-enabled design using Copilot, Claude, and generative AI tools.

The candidate should have 8–10 years of hands-on architecture experience across applications, integrations, security, data, and infrastructure, and be prepared to lead diverse teams through complex

Qualifications

  • Lead endtoend architecture of enterprise applications using .NET, Angular, React, Azure, APIs, and Microservices.
  • Define application, integration, security, data, and infrastructure architectures.
  • Design and recommend AI-enabled architectures leveraging Microsoft Copilot, Claude, and Generative AI technologies

Responsibilities

  • Define and govern endtoend architecture for enterprise applications using .NET, Angular/React, Azure, and modern integration patterns.
  • Lead crossfunctional teams of architects, developers, DevOps engineers, and business stakeholders.
  • Drive adoption of AI-assisted development using GitHub Copilot, Claude, and agentic AI capabilities to improve productivity and innovation

Skills

End-to-end architecture
Architecture design
AI-enabled architectures

Tools

Microsoft Azure Architecture
DevOps & Platform Engineering

Job description

Expedite Talent Solutions is seeking a Technology Specialist to lead end-to-end architecture and design of enterprise applications in Warren, NJ. The role focuses on.NET, Angular, React, Azure, APIs, and microservices, with emphasis on AI-enabled design using Copilot, Claude, and generative AI tools.

The candidate should have 8–10 years of hands-on architecture experience across applications, integrations, security, data, and infrastructure, and be prepared to lead diverse teams through complex

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