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2 дня назад

Director, AI Platform

250 000 - 430 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
director
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
Director, AI Platform (AI): Leading the technical strategy and architecture of AI platform capabilities for model development, training, inference, monitoring, and governance with an accent on production-scale AI systems, ML infrastructure, and operational reliability. Focus on building and mentoring platform engineering teams, evaluating cloud and technology trade-offs, and integrating data pipelines, observability, security, and compliance into AI operations.

Location: United States · Remote

Salary: $250,000–$430,000 annually

Company

hirify.global is a specialist executive search firm focused on leaders who help organizations navigate AI transformation.

What you will do

  • Own the technical strategy and roadmap for AI platform capabilities, balancing innovation, reliability, and operational cost.
  • Design and evolve infrastructure for model development, training, inference, and monitoring across multiple organizational use cases.
  • Lead AI/ML engineers, architects, and platform specialists through technical standards, architecture reviews, and mentoring.
  • Partner with product and business leaders to translate AI opportunities into technical requirements and delivery plans.
  • Make build-versus-buy, open-source-versus-proprietary, and cloud infrastructure decisions based on performance, cost, and time-to-market trade-offs.
  • Establish observability, governance, security, model versioning, explainability, bias detection, compliance, feature pipelines, data quality checks, and retraining workflows.

Requirements

  • 10+ years of software engineering or ML systems experience, including 4–5 years in AI architecture, platform engineering, or leading ML infrastructure teams.
  • Track record of architecting and shipping production AI systems at meaningful scale, including large language models, computer vision, forecasting, or recommender systems.
  • Hands-on knowledge of model serving frameworks, training infrastructure, vector databases, experiment tracking, and monitoring tools.
  • Experience leading and growing engineering teams, setting technical vision, and communicating trade-offs to non-technical stakeholders.
  • Strong system design judgment with experience in distributed systems, data pipelines, or cloud infrastructure decisions.
  • Familiarity with AI governance, security, bias mitigation, and regulatory compliance frameworks.

Culture & Benefits

  • Remote work from the United States.
  • This posting is for future opportunities and adds applicants to a candidate network for relevant roles.

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