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Director, AI Strategy (Engineering Operations)

206 500 - 295 000$
Формат работы
hybrid
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 Strategy (Engineering Operations): Lead AI strategy, platforms, and programs to accelerate AI adoption and impact across R&D with an accent on AI architecture, governance, and scalable AI solutions. Focus on managing cross-functional AI programs, driving measurable AI adoption, and enabling engineering productivity improvements.

Location: Hybrid in San Jose, CA or Bellevue, WA, USA

Salary: $206,500 - $295,000 USD

Company

hirify.global is a cloud-native cybersecurity leader providing Zero Trust Exchange platform protecting users and applications globally.

What you will do

  • Own centralized AI strategy, roadmap, and governance for R&D including technology stack and vendor evaluations
  • Lead a team of AI/ML developers, analysts, and program managers delivering scalable AI solutions
  • Architect and operate core AI platform components such as MCP servers, agent frameworks, and retrieval pipelines
  • Manage cross-functional AI programs including intake, prioritization, business-case development, and delivery
  • Drive measurable AI adoption through Voice-of-the-Customer programs and change management initiatives

Requirements

  • Location: Must work hybrid from San Jose, CA or Bellevue, WA, USA
  • 10+ years experience in software engineering, AI/ML infrastructure, platform engineering, or engineering productivity
  • Bachelor’s degree in Computer Science or related technical field
  • Expertise in AI architecture, MCP server patterns, agent orchestration, retrieval systems, and LLM-enabled workflow design
  • Hands-on experience with AI-enhanced development tooling such as GitLab Duo, Gemini Code Assist, Windsurf, Cursor
  • Proven success leading cross-functional engineering programs delivering scalable AI capabilities

Nice to have

  • Master’s degree, MBA, or advanced certifications in AI/ML/MLOps
  • Background in management or technology consulting driving AI transformation programs
  • Experience leading org-wide enablement, VOC programs, and change management for engineering tools

Culture & Benefits

  • Comprehensive health plans, vacation, sick time, and parental leave options
  • Retirement options and education reimbursement
  • In-office perks and hybrid work model
  • Inclusive environment valuing collaboration, ownership, and accountability

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