Technical Architect (.NET, Azure & AI)

  • Dallas, TX
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
Depends on Experience
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship

Skills

.NET
Azure & AI

Job Details

Technical Architect (.NET, Azure & AI)
About the Role

We are seeking a seasoned Technical Architect (.NET, Azure & AI) who brings deep expertise in cloud-native architecture, AI/GenAI implementation, and enterprise-grade .NET solutions. This role demands hands-on technical leadership, strong architectural vision, and the ability to guide cross-functional teams in building scalable, secure, and AI-driven applications on Microsoft Azure.

Key Responsibilities

  • Lead architecture, design, and delivery of complex solutions using .NET Core, Azure Cloud, and AI/GenAI services.

  • Assess, design, and implement AI solutions including Azure AI Foundry, RAG pipelines, vector search, LLM model integration, prompt orchestration, and GenAI workflows.

  • Integrate AI components into production-ready solutions with enterprise security, performance, and monitoring.

  • Create and review architecture diagrams, design documents, and technical specifications.

  • Drive engineering excellence: code reviews, CI/CD pipelines, test automation, refactoring, and documentation.

  • Enforce architecture standards, best practices, design patterns, and usability guidelines.

  • Architect and build reusable, testable modules and microservices using .NET Core.

  • Integrate applications with Azure services: APIM, Functions, AKS, App Insights, ADF, Storage Accounts, Azure SQL, NoSQL.

  • Design and manage Kubernetes-based deployments and containerized application stacks.

  • Implement secure authentication using OAuth, SAML, JWT, OIDC, and integrate SSO with major IAM providers.

  • Troubleshoot, optimize, and improve backend performance and cloud workloads.

  • Mentor development teams on modern technologies, cloud design patterns, and AI adoption.

Required Experience & Skills Core Technical Skills

  • 10+ years of hands-on experience with .NET Core, microservices, and enterprise cloud applications.

  • Strong expertise in Azure Cloud, including:

    • Azure API Management (APIM)

    • Azure Functions

    • Azure App Insights

    • Azure Data Factory

    • Azure Storage Services

    • Azure API Gateway

  • Experience with Azure Kubernetes Service (AKS) and containerized deployments (Docker/K8s).

  • Hands-on experience building and documenting APIs using Swagger / SwaggerHub.

  • Experience integrating microservices with Cloud SQL, File Storage, NoSQL, Graph DB.

AI/GenAI Experience

  • Azure AI Foundry (Mandatory)

  • Hands-on with GenAI, LLMs, RAG pipelines, vector stores, and building AI-powered enterprise solutions.

  • Experience deploying AI components securely and at scale.

Security & Identity

  • 4+ years of experience integrating SSO with REST APIs.

  • Deep understanding of OAuth, SAML, JWT, MFA, OIDC, and RBAC.

DevOps & Observability

  • Solid understanding of Azure DevOps pipelines and end-to-end automation.

  • Experience with analytics & monitoring tools such as Dynatrace, Firebase, Google Analytics.

Plus / Preferred

  • Azure Certifications such as:

    • Azure AI Engineer

    • Azure Solutions Architect

    • Azure DevOps Engineer

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