Senior Azure AI Platform Engineer (iGaming)

TL;DR

Senior Azure AI Platform Engineer (iGaming): Building and scaling production-grade Agentic AI workflows within a high-functioning startup-style team with an accent on Azure infrastructure, CI/CD automation, and security. Focus on designing resilient multi-agent systems, establishing rigorous evaluation infrastructure, and ensuring platform observability and security at enterprise scale.

Location: Must be based in Austin, Texas

Company

hirify.global is a global leader in the highly regulated gaming industry, providing innovative technology and services across the enterprise.

What you will do

• Architect and maintain secure Azure landing zones for private-network deployments.
• Design and operate end-to-end CI/CD pipelines for .NET agent workflows using Azure DevOps.
• Manage evaluation infrastructure to establish automated deployment gates for AI models.
• Implement comprehensive observability using OpenTelemetry and multi-agent semantics.
• Enforce strict security postures across Entra ID, Key Vault, and private endpoints.
• Codify sovereign and hybrid deployment patterns using Infrastructure as Code (Bicep).

Requirements

• 8+ years in DevOps, platform, or infrastructure engineering, with 3+ years on Azure.
• Advanced hands-on experience with Azure services including AKS, Functions, and API Management.
• Strong IaC fluency (Bicep preferred) and production experience with Azure DevOps pipelines.
• Proficiency in Python, PowerShell, or Bash, with the ability to read C# and TypeScript.
• Experience operating LLM or agent systems in production, including evaluation and observability.
• Working knowledge of enterprise identity management and secure-by-default networking.

Nice to have

• Experience with Microsoft Agent Framework, .NET Aspire, and Microsoft Foundry.
• Familiarity with Azure Local or sovereign AI deployment patterns.
• Exposure to regulatory frameworks such as SOC2 or PCI.
• Experience with Azure OpenAI capacity planning and cost optimization.

Culture & Benefits

• Work within a high-functioning, startup-like environment inside a large enterprise.
• Opportunity to define engineering standards for next-generation AI automation.
• Focus on technical autonomy and strategic platform investment.
• Commitment to equal opportunity and inclusive workplace practices.