Azure .NET Architect with AI experience

6 days ago

Walnut Creek, CA, United States Veracity Full time
Azure .NET Architect with AI experience
6-8 Months C2H
Walnut Creek, CA (3 days work from Office) - Need only local
Position Overview
Looking for a seasoned Azure .NET Architect to lead the design and implementation of scalable, secure, and AI-integrated solutions on the Microsoft Azure platform. This role demands a deep understanding of cloud-native architectures, AI/ML technologies, and enterprise-grade .NET development.
Key Responsibilities
  • Architecture Design: Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
  • AI Integration: Architect and implement AI solutions using Azure Machine Learning, Azure OpenAI Service, and Azure Cognitive Services.
  • Cloud Infrastructure: Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices.
  • Security & Compliance: Implement and enforce Azure security best practices, identity management, and role-based access controls (RBAC).
  • DevOps & CI/CD: Architect and manage CI/CD pipelines for AI and enterprise applications using Azure DevOps and GitHub Actions.
  • Collaboration: Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions.
Required Qualifications
  • Experience: 12-15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.
  • Technical Skills:
    • Proficiency in C#, ASP.NET, JavaScript, MVC, and client-side scripting (JavaScript, JQuery, Kendo).
    • Hands-on experience with Azure services including AKS, Azure Functions, Logic Apps, and Azure Machine Learning.
    • Familiarity with AI/ML frameworks and tools such as Infer.NET and ML.NET.
  • Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304) or equivalent.
  • Soft Skills: Strong communication skills to present ideas and solutions, with analytical abilities to troubleshoot issues.
Preferred Qualifications
  • AI/ML Experience: Exposure to Generative AI technologies and experience in customizing LLM models.
  • Frontend Development: Experience with modern JavaScript frameworks like React
  • Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect

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