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2 дня назад

Lead Software Architect AI Platform Engineering (AI)

200 723 - 222 678$
Тип работы
fulltime
Грейд
lead
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

Lead Software Architect AI Platform Engineering (AI): Defining the technical vision for the AI platform, including service boundaries, data flows, and deployment topology with an accent on hands-on architecture work and real operational feedback. Focus on translating architectural intent into shipped capability, managing technical risk, and ensuring the team delivers working software on a predictable cadence.

Location: United States

Salary: USD $200,723.00/Yr. - USD $222,678.00/Yr.

Company

hirify.global engineers high technology solutions, products, and services for customers across all domains of operation.

What you will do

  • Define the technical vision for the AI platform, including service boundaries, data flows, and integration contracts.
  • Select, evaluate, and replace tools, frameworks, and services for the team.
  • Write and review code, and debug production systems.
  • Set engineering standards for the platform team, including CI/CD practices, testing expectations, and documentation norms.
  • Own the operational health of the platform, including SLOs, incident response, and capacity planning.
  • Work with infrastructure, security, cloud, data, and ML pipeline teams to translate architectural intent into shipped capability.

Requirements

  • 10+ years of software engineering experience, with at least 4 years in a technical leadership or architecture role.
  • Experience architecting and shipping production platforms.
  • Deep experience with cloud-native architectures (AWS, Azure, or GCP).
  • Extensive production AI/ML systems experience.
  • Demonstrated technical depth across multiple domains, including infrastructure, networking, data engineering, ML pipelines, and security.

Nice to have

  • Experience at commercial tech companies, including product engineering, SaaS platforms, and cloud infrastructure.
  • Experience with LLM application development.
  • Familiarity with AI-assisted development tools and practices.
  • Experience operating in multi-cloud or hybrid-cloud environments.
  • A track record of mentoring senior engineers and building high-performing platform teams.

Culture & Benefits

  • Flexible work environment where contributions are recognized and rewarded.
  • Highly competitive benefits.
  • Shared sense of purpose.
  • Value trust, honesty, alignment, and transparency.

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