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12 дней назад

Senior AI Platform Architect

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior AI Platform Architect (AI/Azure): Designing secure enterprise AI platforms, agent-based systems, and integrations across Azure, APIs, identity, enterprise data, and business applications with an accent on scalable architecture, security, and production deployment. Focus on building authentication and authorization models, connecting AI agents and tools to enterprise systems, and translating business use cases into reliable technical architectures.

Location: Remote across Eastern and Central Time Zones in the US

Company

hirify.global is recruiting for a global technology organization investing in enterprise AI deployment, integration, and governance.

What you will do

  • Design enterprise AI platforms, applications, and agent-based systems.
  • Build secure integrations between AI systems, internal applications, APIs, enterprise data, and business applications.
  • Define architecture patterns, blueprints, technical standards, and production design decisions.
  • Design authentication and authorization models using OAuth, SSO, Entra ID, managed identities, and delegated access.
  • Develop integration patterns for MCP, tools, agents, APIs, and enterprise systems.
  • Partner with engineering, security, infrastructure, data, and business stakeholders to move AI initiatives from concept to production.

Requirements

  • Strong experience designing and delivering enterprise AI platforms or AI-enabled applications.
  • Deep understanding of enterprise architecture, cloud platforms, integrations, and security.
  • Strong experience with Microsoft Azure and enterprise AI tooling such as Azure AI Foundry, Azure OpenAI, or Microsoft Copilot.
  • Strong knowledge of APIs, authentication, authorization, identity, and enterprise integration patterns.
  • Experience with MCP, AI agents, tool calling, and modern agent architectures.
  • Ability to work across high-level architecture and detailed technical implementation, with strong communication across technical and business teams.

Culture & Benefits

  • Significant ownership over technical direction.
  • Work on enterprise-scale AI adoption across platforms, applications, agents, and business systems.
  • Collaboration across engineering, security, infrastructure, data, and business functions.

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