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Azure Technical Architect

Kodeva LLCNewark, NJ🇺🇸United StatesPosted 31 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Senior Azure Technical Architect – AI & Architecture Engineering

Location: Hybrid (Newark, NJ)

Duration: 12 months 

Required Qualifications

  • 7+ years of experience in Solution, Technical, or Cloud Architecture.
  • Strong experience designing and implementing Azure-based enterprise solutions.
  • Experience with cloud-native architectures, Terraform, and CI/CD pipelines.
  • Solid understanding of enterprise architecture, application modernization, and architecture governance.
  • Experience consulting and influencing multiple engineering teams.
  • Excellent communication and stakeholder management skills.

AI & Architecture Engineering

  • Promote AI-first architecture practices across the SDLC.
  • Identify opportunities to automate architecture governance and engineering workflows.
  • Design AI-enabled architecture solutions and reusable AI skills.
  • Leverage tools such as GitHub Copilot, Claude Code, and AI-assisted development platforms.
  • Support initiatives involving Agentic AI, Prompt Engineering, MCP (Model Context Protocol), and AI-powered architecture automation, with an understanding of enterprise integration and deployment patterns.
  • Analyze existing SDLC and engineering processes and identify opportunities for AI-driven automation and self-service enablement.
  • Build scalable capabilities that reduce manual architecture support, governance overhead, and engineering process friction.

 

  • Ideal Candidate

    • Strong Azure Architect with a consulting mindset and the ability to operate across architecture, engineering, AI enablement, and cloud modernization initiatives.
    • Comfortable working across multiple engineering teams and cloud maturity levels.
    • Passionate about AI, automation, and modern software engineering practices.
    • Able to drive standardization, simplification, and adoption of enterprise architecture best practices.
    • Experience working across application, integration, data, platform, and AI domains within enterprise cloud environments.

Skills

Azure
Stakeholder Management
Terraform

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