Full Time
10.5/hour
40
Jan 30, 2026
Role Summary
We are seeking an experienced Azure AI Platform Engineer to manage, operate, and evolve an Azure-based Retrieval-Augmented Generation (RAG) solution
This role is responsible for deploying, securing, maintaining, and extending the solution within our Azure environment, ensuring reliable operation across environments (dev/test/prod), proper access control, and cost-effective usage.
The ideal candidate is comfortable owning both infrastructure and application behavior, with a strong understanding of Azure identity, AI Search indexing, OpenAI integrations, and secure enterprise deployments.
Key Responsibilities
GitHub Repository Ownership
Own and maintain the Github repo as delegated
Manage forks, branches, and environment-specific configurations
Review, test, and deploy updates from upstream Microsoft changes when applicable
Implement customizations for client-specific or department-specific deployments
Azure Infrastructure & Deployment
Deploy and manage Azure resources including:
Azure AI Search
Azure OpenAI
Azure Container Apps / App Service
Azure Blob Storage
Azure Key Vault
Use Bicep / ARM / azd for repeatable, environment-safe deployments
Configure and manage multiple environments (dev, staging, production)
Security & Identity Management
Implement authentication and authorization using:
Microsoft Entra ID (Azure AD)
App registrations and service principals
Group-based access control
Enforce document-level and role-based access to indexed content
Ensure users only retrieve content they are authorized to see
Work with Easy Auth / managed identity where applicable
Azure AI Search & RAG Operations
Design and maintain search indexes, skillsets, and indexers
Implement metadata-based filtering (departments, roles, group IDs)
Optimize chunking, embeddings, and retrieval quality
Monitor and tune relevance, latency, and token usage
Operations & Cost Management
Monitor application health, logs, and performance
Track and optimize Azure OpenAI and Search costs
Implement safeguards to prevent runaway usage
Troubleshoot deployment, authentication, and runtime issues
Collaboration & Documentation
Document architecture, deployment steps, and operational runbooks
Support internal teams and client-facing implementations
Provide guidance on extending the platform safely and correctly
Required Skills & Experience
Azure OpenAI
Azure AI Search
Azure Blob Storage
GitHub workflows, branching, and repo management
Infrastructure as Code (Bicep, ARM, or Terraform)
REST APIs and JSON-based configurations
Identity & Security
Microsoft Entra ID (Azure AD)
App registrations, OAuth, scopes, and consent flows
Role-based access control (RBAC)
Secure secret management with Key Vault
Programming & Frameworks
Python (backend services, filtering logic)
JavaScript / TypeScript (frontend or API integration awareness)
Familiarity with containerized deployments (Docker, Container Apps)