Azure AI Platform Architect

Concentrix; Omaha (NE); On-site; USD 122,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Paid time off and holidays

Employee assistance program

Job summary

Concentrix seeks an experienced AI Platform Architect to lead design and implementation of an enterprise AI SDLC platform on Microsoft Azure in Omaha, NE. You will translate architecture into scalable, production-ready solutions, integrating with Azure DevOps, Git, and CI/CD pipelines to enable secure, observable engineering workflows.

Responsibilities include defining reusable AI platform capabilities, governance, and cost-conscious operations, while partnering with engineering teams and

Qualifications

• 8+ years of software engineering experience with architecture responsibility.
• 2+ years of hands-on Generative AI or agentic solutions.
• Hands-on experience with Microsoft Azure, including Azure AI/OpenAI, Azure DevOps, Entra ID, and Azure hosting services.
• Experience with CI/CD, DevOps, testing, and production engineering practices.
• Proficiency in Python and .NET/C# enterprise app architecture.

Responsibilities

• Own the detailed technical architecture and implementation design for the enterprise AI SDLC Platform on Microsoft Azure.
• Translate strategic architecture direction into practical, scalable platform solutions.
• Architect integrations with Azure DevOps, Git, CI/CD pipelines, and enterprise APIs.
• Define patterns for AI-assisted application modernization and code understanding/refactoring.
• Lead design sessions and develop architecture guidance and decision frameworks.

Skills

Generative AI

Azure

Python

.NET/C#

CI/CD/DevOps

Kubernetes

Security & Governance

Observability

Context engineering / RAG

LangChain/Semantic Kernel

AI developer tools

Tools

Azure DevOps

Entra ID

GitHub Copilot

Terraform

Kubernetes

Job description

Concentrix seeks an experienced AI Platform Architect to lead design and implementation of an enterprise AI SDLC platform on Microsoft Azure in Omaha, NE. You will translate architecture into scalable, production-ready solutions, integrating with Azure DevOps, Git, and CI/CD pipelines to enable secure, observable engineering workflows.

Responsibilities include defining reusable AI platform capabilities, governance, and cost-conscious operations, while partnering with engineering teams and