Эта вакансия в архиве

Посмотреть похожие вакансии ↓
Company hidden
обновлено 6 дней назад

Senior AI Platform Engineer (iGaming)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

Описание вакансии

Текст:
/

TL;DR

Senior AI Platform Engineer (iGaming): Building and scaling production-grade Agentic AI workflows within a high-functioning startup-like environment with an accent on Azure infrastructure, CI/CD automation, and security. Focus on designing robust evaluation infrastructure, observability for multi-agent systems, and secure deployment patterns for enterprise-scale AI.

Location: Must be based in or able to work from Austin, Texas (Hybrid)

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 within the enterprise data boundary.
  • Design and operate end-to-end CI/CD pipelines for .NET agent workflows.
  • Manage evaluation infrastructure to establish rigorous, automated deployment gates.
  • Implement comprehensive observability using distributed tracing and multi-agent semantics.
  • Enforce strict security postures across identity, secret management, and private networking.
  • Codify sovereign and hybrid deployment patterns using Infrastructure as Code.

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 Key Vault.
  • Strong fluency in IaC (Bicep preferred) and Azure DevOps pipeline design.
  • Proficiency in Python, PowerShell, or Bash, with ability to read C# and TypeScript.
  • Experience operating LLM or agent systems in production environments.
  • Working knowledge of enterprise identity, secret management, and secure networking.

Nice to have

  • Experience with Microsoft Agent Framework, .NET Aspire, and Microsoft Foundry.
  • Familiarity with OpenTelemetry multi-agent semantic conventions.
  • Exposure to regulatory frameworks like SOC2 or PCI.
  • Experience with Azure OpenAI capacity planning and cost optimization.

Culture & Benefits

  • Operate within a high-functioning, autonomous startup-like team inside a large enterprise.
  • Focus on shipping, rigorous evaluation, and strategic platform investments.
  • Opportunity to work with cutting-edge Microsoft AI and agentic frameworks.
  • Commitment to equal opportunity and inclusive workplace practices.