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Azure .NET Architect
Job in
Sacramento, Sacramento County, California, 95828, USA
Listed on 2026-01-09
Listing for:
Resource Informatics Group, Inc
Full Time
position Listed on 2026-01-09
Job specializations:
-
IT/Tech
AI Engineer, Cloud Computing, Azure
Job Description & How to Apply Below
Direct message the job poster from Resource Informatics Group, Inc
Location:
Sacramento, CA and Walnut Creek, CA (1 role in each location)
Rate: $Market
Position OverviewLooking 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). - Dev Ops & CI/CD:
Architect and manage CI/CD pipelines for AI and enterprise applications using Azure Dev Ops and Git Hub Actions. - Collaboration:
Work closely with AI engineering, data science, and security teams to optimize Azure cloud solutions.
- Experience:
12–15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.
- 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 and
- 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.
- AI/ML
Experience:
Exposure to Generative AI technologies and experience in customizing LLM models. - Additional
Certifications:
AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect
- Mid-Senior level
- Contract
- Information Technology
- Software Development
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