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12 часов назад

Architect, Agentic Interfaces (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Architect, Agentic Interfaces (AI): Owning the end-to-end architecture of an agent-native interface, its semantic layer, and access controls for production enterprise AI software with an accent on API contracts, semantic modelling, security, and multi-tenancy. Focus on designing versioned interfaces, evaluating agent-facing capabilities, establishing governance for tool access, and aligning platform architecture across engineering, product, and AI teams.

Location: Staines-upon-Thames, England, United Kingdom; hybrid work opportunities are available.

Company

hirify.global builds AI-native, cloud-based enterprise software for asset management, operations, and critical services at global scale.

What you will do

  • Own the end-to-end architecture of the agent-facing interface, semantic layer, and related controls.
  • Define interface contracts, including exposure granularity, versioning, backward compatibility, deprecation, and private capabilities.
  • Resolve competing technical approaches across teams and maintain architectural coherence during delivery.
  • Define evaluation standards for agent-facing capabilities and production AI systems.
  • Establish security and governance for agent access, including identity, entitlements, customer isolation, and safe defaults.
  • Align delivery sequencing with product management, platform engineering, and AI teams, and represent the architecture to senior stakeholders, customers, and partners.

Requirements

  • 10+ years of software engineering experience, including 3+ years as a lead architect on a platform used by other teams or external developers.
  • Proven experience owning and delivering production platform architecture at enterprise scale.
  • Deep experience in API and interface design, versioning, backward compatibility, and deprecation.
  • Hands-on experience with production AI systems that call tools or functions.
  • Experience with semantic modelling, knowledge graphs, or ontologies over an existing product or data estate.
  • Experience designing security and multi-tenancy, including identity, entitlements, and customer isolation.

Nice to have

  • Experience with enterprise application platforms and their extension or integration models.
  • Published or public technical work, such as standards contributions, open-source projects, or conference talks.
  • Background in asset-intensive industries.

Culture & Benefits

  • Flexible and hybrid work opportunities.
  • Inclusive, international working environment with colleagues across all continents.
  • Focus on collaboration, trust, sustainability, and positive global impact.

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