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15+ Azure AI Engineer/Architect(End to End Engineering Lead)
ProhiresFremont, CA🇺🇸United StatesPosted 14 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Azure AI Engineer/Architect(End to End Engineering Lead)
Location-Fremont, CA (Remote PST Hours/Local Candidates given 1st preference for Onsite/Hybrid work)
Job Type-Long Term Contract
Location-Fremont, CA (Remote PST Hours/Local Candidates given 1st preference for Onsite/Hybrid work)
Job Type-Long Term Contract
12-15 Years Experience Hands on Person.
- We are looking for a highly skilled Azure AI Engineer/Architect with strong DevOps and MLOps expertise to design, develop, deploy, and operate production-grade AI and Machine Learning solutions on Microsoft Azure.
- The role will involve building solutions using technologies such as Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure DevOps, GitHub Actions, Docker, Kubernetes/AKS, Terraform/Bicep, Azure Monitor, Application Insights, Azure Key Vault, Microsoft Entra ID, and other Azure services.
- Build solutions using Azure AI Foundry, Azure OpenAI, Azure AI Services, Azure AI Search, Azure AI Content Safety, and related Azure services.
- Design and implement end-to-end MLOps pipelines using Azure Machine Learning.
Design and implement enterprise-grade CI/CD pipelines for AI/ML applications and infrastructure. - Build pipelines using Azure DevOps Pipelines and/or GitHub Actions.
- Implement separate Dev, Test, UAT, Staging, and Production deployment strategies.
- Work with Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, Synapse, or equivalent platforms.
- Use Azure Monitor, Application Insights, Log Analytics, and related observability tools.
Skills
Docker
MLOps
Machine Learning
Azure
Databricks
GitHub Actions
Kubernetes
Terraform
Vault
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