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11 часов назад

AI Infrastructure Architect (AI)

235 000 - 353 000$
Формат работы
hybrid
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

AI Infrastructure Architect (AI/Cloud): Building and evolving the AI infrastructure and platform that powers identity security solutions with an accent on scalability, security, and resilience. Focus on architecting high-scale AI-driven tools, implementing MLOps practices, and leading infrastructure decisions across AWS and GCP.

Location: Bellevue, Washington (Hybrid)

Salary: $235,000 — $353,000 USD

Company

hirify.global is a leader in identity security, providing trusted infrastructure that enables organizations to securely manage and embrace AI.

What you will do

  • Lead AI enablement initiatives and develop proof-of-concepts for emerging AI infrastructure technologies.
  • Architect scalable, resilient, and secure AI infrastructure supporting hirify.global’s Identity Platform across AWS and GCP.
  • Develop and maintain infrastructure-as-code frameworks using Terraform and Helm to ensure reproducible deployments.
  • Implement robust MLOps practices, including model evaluation, rollback strategies, and A/B testing.
  • Collaborate with engineering, security, and data science teams to embed data privacy and identity protection standards into AI designs.
  • Act as the primary strategist for AI-driven efficiency initiatives across infrastructure platform teams.

Requirements

  • 10+ years of experience in infrastructure or software engineering.
  • At least 2 years of experience building AI/ML systems.
  • Deep expertise in cloud platforms (AWS, GCP), distributed systems, and Kubernetes.
  • Proven track record in architecting enterprise-grade infrastructure.
  • Ability to be highly hands-on in creating, reviewing, and contributing production-quality code.
  • Must be based in the US (specifically Washington, California, Colorado, Illinois, or New York).

Nice to have

  • Experience in identity, security, fraud, or risk analytics domains.
  • Experience operationalizing large language models (LLMs) or foundation models in production.
  • Contributions to MLOps or infrastructure open-source projects.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance.
  • 401(k) and flexible spending accounts.
  • Paid leave, including PTO and parental leave.
  • Opportunity to lead career-defining work at the intersection of identity security and AI.
  • Immersive, in-person onboarding experience to accelerate impact and team connection.

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