Senior Azure AI Platform Engineer

Strategic Employment

  • Park Ridge, IL
  • 30+ days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Solutionsunmatched
    • Cloud Computingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Engineeringunmatched
    • GCP (Good Clinical Practices)unmatched
    • Kernel Programmingunmatched
    • Microservicesunmatched
    • Microsoft .NETunmatched
    • Microsoft C# (C Sharp)unmatched
    • Microsoft Windows Azureunmatched
    • Multiplatform/Cross-Platformunmatched
    • Production Systemsunmatched
    • REST (Representational State Transfer)unmatched
    • React.jsunmatched
    • Software Engineeringunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    Senior Azure AI Platform Engineer

    Location: Chicagoland or Dallas, TX – hybrid (3 days onsite)

    Salary: Up to ~$130K

    We’re partnering with a rapidly growing, private equity–backed technology company undergoing a major cloud and AI transformation. They’re modernizing a legacy .NET platform into Azure and embedding AI capabilities directly into core business applications.

    This is a hands-on engineering role for someone who has already built and shipped AI-enabled features in production and is excited to help scale that capability across an enterprise platform.

    What you’ll do

    • Build and integrate AI-powered capabilities into a .NET application stack
    • Develop backend services and APIs using C#/.NET
    • Design and implement cloud-native components and microservices in Azure
    • Integrate Azure AI / OpenAI (or similar cloud AI services) into real-world workflows
    • Partner with product and business teams to translate AI ideas into production-ready solutions
    • Help establish patterns and best practices for scalable, secure AI adoption

    Preferred Experience

    • 6+ years of software engineering experience
    • Strong hands-on experience with C# and .NET
    • Experience building or integrating AI/ML solutions in production environments
    • Cloud experience (Azure preferred; AWS/GCP acceptable)
    • Strong experience with REST APIs and modern backend architecture
    • Comfortable working in a hybrid environment (3 days onsite weekly)

    Nice to have

    • Azure AI services (Azure OpenAI, Semantic Kernel, etc.)
    • Microservices architecture and application modernization experience
    • Frontend exposure (React, Angular, or similar)
    • Experience with Terraform, Kubernetes, or CI/CD pipelines

    Numbers & Facts

    LocationPark Ridge, IL

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