Solutions Architect

Nous Infosystems; Sacramento (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading IT services firm is seeking an experienced Azure .NET Architect in Sacramento, CA. This role involves leading the design of scalable, secure AI-integrated solutions on Microsoft Azure. Candidates should have 12–15 years of experience in SaaS product development, strong hands-on skills with Azure services, and certifications like Azure Solutions Architect Expert. As a mid-senior level position, it offers a contract employment type with profound technical responsibilities in cloud solutions design and AI integration.

Qualifications

• 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.

Responsibilities

• Lead the design of hybrid and multi-cloud environments, integrating AI workloads with Azure services.
• Architect and implement AI solutions using Azure Machine Learning and Azure Cognitive Services.
• Oversee cloud infrastructure modernization using Azure Kubernetes Service and microservices.
• Implement and enforce Azure security best practices, identity management, and role-based access controls.

Skills

Azure services including AKS, Azure Functions, Logic Apps

AI/ML frameworks and tools such as Infer.NET and ML.NET

Strong communication skills

Analytical abilities

Education

Microsoft Certified: Azure Solutions Architect Expert (AZ-303/AZ-304)

AI-102 (Azure AI Engineer Associate)

DP-100 (Azure Data Scientist Associate)

Tools

Azure Machine Learning

Azure DevOps

GitHub Actions

Job description

Location: Sacramento, CA and Walnut Creek, CA

Duration: 3 Months (C2H)

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.
• Experience: 12–15 years in designing, developing, and supporting enterprise-grade SaaS products using the Microsoft stack on Azure.

Technical Skills

• 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.
• Additional Certifications: AI‑102 (Azure AI Engineer Associate), DP‑100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting

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