Azure AI Platform & AIOps Engineer
Vega Intellisoft Inc.
Buffalo, NY, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Application Performance Management
User Authentication
Microsoft Azure
Continuous Integration
DevOps
Github
Python (Programming Language)
Log Analysis
Machine Learning
Role-Based Access Control
+15 more
Azure Machine Learning
AI Infrastructure
Scripting
Cloud Monitoring
Software Troubleshooting
Generative AI
AI Platforms
Kubernetes
Deployment Automation
Bicep
Machine Learning Operations
Terraform
Api Management
Docker
Key Vault
Job description
We are seeking an experienced Azure AI Platform & AIOps Engineer to design, deploy, and operate secure and scalable AI/ML and Generative AI platforms on Microsoft Azure. The role will focus on Azure AI infrastructure, automation, DevOps, monitoring, and production support., * Design and manage Azure AI/ML platforms and infrastructure.
- Configure and support Azure AI Services and Azure OpenAI.
- Implement secure access, authentication, networking, and governance for AI workloads.
- Automate deployments using Azure DevOps, GitHub Actions, Terraform, Bicep, or ARM.
- Deploy and manage AI applications across Azure environments.
- Implement AIOps/MLOps/LLMOps practices.
- Monitor platform health using Azure Monitor, Application Insights, and Log Analytics.
- Troubleshoot infrastructure, application, API, and AI service issues.
- Implement observability, alerting, reliability, and cost optimization.
- Collaborate with AI/ML, DevOps, Security, and Architecture teams.
Requirements
- Strong Microsoft Azure experience.
- Azure AI Services / Azure OpenAI.
- AI Gateway / API Management concepts.
- Strong DevOps & CI/CD experience.
- Terraform, Bicep, or ARM.
- Docker / Kubernetes / AKS.
- Python or scripting.
- Entra ID, RBAC, Key Vault, Azure Networking.
- Azure Monitor, Application Insights, Log Analytics.
- Understanding of AIOps, MLOps, or LLMOps.
- Strong troubleshooting and production-support experience.
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Apply on www.dice.com
Prepare application
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