About the position:
Velosio is seeking an Azure AI Platform Engineer to help build, operate, secure, and govern our growing Microsoft Azure and AI platform. This role will serve as a hands-on technical owner for Azure infrastructure supporting AI applications, Microsoft Foundry, Azure OpenAI, and related cloud services. The engineer will work closely with AI solution teams, and business stakeholders to provide secure, scalable, observable, and cost-effective environments for deploying AI solutions. The ideal candidate combines strong Azure infrastructure, identity, security, automation, and DevOps skills with practical experience deploying and operating modern AI services in Azure. The role will initially focus heavily on Azure AI workloads while also helping strengthen Velosio's broader Azure operating model.
This is a hybrid role based in Atlanta, GA with 3 days on site. Your day might look like:
- Build, configure, maintain, and support Azure environments used by AI applications and services.
- Administer Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure AI Services, and related Azure AI capabilities.
- Automate infrastructure provisioning using Bicep, Terraform, or equivalent Infrastructure as Code tooling.
- Manage AI model deployments, endpoints, quotas, capacity, configuration, and lifecycle.
- Establish repeatable patterns for deploying AI workloads across Development, Test/UAT, and Production environments.
- Help application and AI teams select appropriate platform services and deployment architectures.
- Maintain visibility into AI resources, applications, environments, dependencies, and technical owners.
- Support Retrieval-Augmented Generation (RAG), search, document-processing, and agent-based architectures from a platform perspective.
- Ensure compliance with security and governance standards across all solutions.
- Other duties may be assigned as needed.
What you'll bring:
Required
- Associate's degree in Computer Science, Information Technology, or related degree.
- Two years or more of hands-on experience with Azure administration and engineering solutions.
- Experience deploying Azure AI services.
- Strong understanding of cloud architecture, networking, and automation principles.
- Proficiency in CI/CD and source-control practices using Azure DevOps or GitHub.
- Practical experience with Microsoft Azure identity and access management
- Excellent problem-solving and communication skills.
Preferred
- Bachelor's degree in Computer Science, Information Technology, or related degree.
- Experience with Azure Key Vaults and secure credential retrieval.
- Experience with Entra ID enterprise applications and application registrations.
- Experience creating AI Agents
- Two years of related experience with Azure DevOps
- Experience designing, implementing, and maintaining Azure DevOps Pipelines for CI/CD.
- Monitor and optimize pipeline performance, ensuring reliability and scalability.
- Maintain source control and branching strategies using Git and Azure Repos.
- Experience with Azure DevOps, including YAML pipelines and release management.
