Jobs via Dice
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 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
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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 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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
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