What are the responsibilities and job description for the Azure .NET Architect position at Resource Informatics Group, Inc?
Title: Solution Architect
Duration: 6 Months C2H role
Location: Sacramento, CA and Walnut Creek, CA (1 role in each location)
Rate: $Market
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