Technology Specialist & Enterprise Architecture

Argyll Info Tech Inc.,
Warren, NJ, United States
13 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Microsoft Azure Cloud Computing Cloud Engineering Databases Software Design Patterns DevOps Distributed Systems Github
+28 more
Microsoft Software Systems Development Life Cycle Software Tools Azure Machine Learning Software Engineering Enterprise Application Integration Enterprise Software Applications .NET Core Microsoft Power Automate GitHub Copilot ReactJS System Availability Large Language Models IT Architecture Software Security Generative AI Event Driven Architecture AngularJS Bicep Enterprise Integration Azure AKS Cloud Migration Virtual Agents Api Design Restful APIs Terraform Docker Microservices

Job description

We are seeking an experienced Technology Specialist Enterprise Architecture to lead the architecture, design, and delivery of large-scale enterprise applications and modern technology solutions. The ideal candidate will have strong hands-on expertise across .NET, Angular, React, Microsoft Azure, APIs, Microservices, DevOps, and modern integration patterns. The successful candidate will also have experience leveraging Generative AI and AI-assisted engineering tools, including GitHub Copilot, Claude, and agentic AI capabilities, to accelerate solution design, improve engineering productivity, automate development processes, and drive technology innovation. This role requires a strong technical leader who can define enterprise architecture, establish technical standards, govern solution design, and collaborate effectively with architects, developers, DevOps engineers, security teams, and business stakeholders., * Lead the end-to-end architecture and design of enterprise-scale applications using:

  • .NET
  • Angular
  • React
  • Microsoft Azure
  • REST APIs
  • Microservices
  • Modern integration patterns
  • Define and govern application, integration, security, data, and infrastructure architectures.
  • Develop scalable, secure, highly available, and resilient enterprise application architectures.
  • Translate business and technical requirements into comprehensive solution architectures and technical designs.
  • Establish architecture standards, design patterns, technology roadmaps, and governance practices.
  • Lead architecture reviews and ensure solutions align with enterprise technology standards and security requirements.
  • Design and recommend AI-enabled architectures leveraging Microsoft Copilot, Claude, Generative AI, and agentic AI technologies.
  • Drive adoption of AI-assisted software development to improve engineering productivity and accelerate application delivery.
  • Evaluate emerging technologies and recommend innovative solutions that improve scalability, performance, reliability, and operational efficiency.
  • Collaborate with cross-functional teams of architects, software engineers, DevOps engineers, security professionals, infrastructure teams, and business stakeholders.
  • Provide technical leadership and guidance throughout the complete Software Development Lifecycle (SDLC).
  • Support cloud modernization and migration initiatives using Microsoft Azure.
  • Ensure effective integration between enterprise applications, APIs, microservices, databases, and cloud platforms.
  • Identify technical risks, architecture gaps, and dependencies and develop appropriate mitigation strategies., Define and govern end-to-end architecture for enterprise applications using .NET, Angular/React, Azure, APIs, Microservices, and modern integration patterns. 2. Technical Leadership Lead cross-functional teams of architects, developers, DevOps engineers, infrastructure professionals, and business stakeholders to deliver scalable and secure enterprise solutions.
  1. AI-Driven Innovation Drive adoption of GitHub Copilot, Claude, Generative AI, and agentic AI capabilities to accelerate software development, automate engineering processes, improve productivity, and enable innovative technology solutions.

Requirements

  • 8 10+ years of experience in Enterprise Architecture, Solution Architecture, Application Architecture, or related technology roles.
  • Proven experience architecting and delivering enterprise-scale applications using the Microsoft technology stack.
  • Strong expertise in:

  • .NET / .NET Core
  • Angular
  • React
  • Microsoft Azure
  • RESTful APIs
  • Microservices architecture
  • Enterprise integration patterns
  • Strong understanding of application, integration, security, data, and infrastructure architecture.
  • Experience designing cloud-native and distributed applications on Azure.
  • Strong knowledge of API-driven architectures, microservices, event-driven architecture, and modern integration approaches.
  • Experience working with AI-powered development and architecture tools, including:

  • GitHub Copilot
  • Claude
  • Generative AI solutions
  • Agentic AI capabilities
  • Proven ability to lead technical architecture initiatives and influence architecture decisions across multiple teams.
  • Strong understanding of application security, scalability, performance, reliability, and high availability.
  • Excellent communication, leadership, problem-solving, and stakeholder management skills.

Preferred Qualifications

  • Strong experience with Microsoft Azure Architecture.
  • Azure certifications such as Azure Solutions Architect Expert are a plus.
  • Experience with DevOps and Platform Engineering.
  • Hands-on experience with CI/CD pipelines and modern DevOps practices.
  • Experience with Azure DevOps, GitHub Actions, or similar CI/CD platforms.
  • Knowledge of Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
  • Experience with Docker and Kubernetes/Azure Kubernetes Service (AKS).
  • Experience designing secure API gateways and enterprise integration platforms.
  • Familiarity with AI/ML platforms, Large Language Models (LLMs), RAG architectures, and AI agents is a plus.
  • Experience implementing AI-assisted development and engineering productivity initiatives.

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