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Solutions Architect

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: Nous Infosystems
Full Time position
Listed on 2026-01-16
Job specializations:
  • IT/Tech
    AI Engineer, Cloud Computing
Job Description & How to Apply Below

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).
  • 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.
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  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.
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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