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1 день назад

Senior Software Architect (AI)

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

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TL;DR

Senior Software Architect (AI & Distributed Systems): Defining the technical direction of client-facing products and internal platforms with an accent on scalable, cloud-native, API-first systems. Focus on integrating AI-driven engineering practices and designing high-performance distributed systems to ensure reliability and security.

Location: USA - Sandy, UT

Company

hirify.global is a global software leader (NASDAQ: hirify.global) providing AI-powered cloud solutions for customer experience, financial crime prevention, and public safety for over 25,000 businesses worldwide.

What you will do

  • Set end-to-end technical direction, including platform vision, architectural patterns, and infrastructure strategy.
  • Design and evolve cloud-native, API-first distributed systems emphasizing scalability, performance, and observability.
  • Integrate AI-assisted development tools like Claude Code and GitHub Copilot into engineering workflows.
  • Implement AI-driven automation for test generation, code refactoring, and codebase exploration.
  • Develop conversational AI platforms, messaging pipelines, and ML-adjacent integrations.
  • Provide mentorship and conduct thorough architecture reviews to elevate engineering standards across teams.

Requirements

  • BS in Computer Science or equivalent experience.
  • 15+ years of software development experience.
  • 5+ years of experience designing or architecting large-scale systems.
  • Expertise in C# and familiarity with Go, Java, or similar languages.
  • Strong proficiency in distributed systems, microservices, and RESTful API-first architectures.
  • Working knowledge of CI/CD, DevOps tooling, and relational/non-relational databases.

hirify.global-to-have">hirify.global to have

  • MS in Computer Science.
  • Experience with Azure (CosmosDB, Service Bus, App Services) or AWS.
  • Proficiency with Angular or modern web frameworks.
  • Experience in telecommunications, real-time systems, or enterprise cloud platforms.
  • Understanding of machine learning concepts and AI/ML platform integration.

Culture & Benefits

  • Opportunity to influence the architectural direction of core platforms and AI-First engineering strategy.
  • Work on enterprise-scale systems within a culture of ownership and experimentation.
  • Commitment to innovation and modern engineering excellence.
  • Equal opportunity employer with a diverse global presence in over 30 countries.

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