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3 часа назад

Principal Forward Deployed Engineer - Software Engineering (AI)

142 800 - 274 800$
Формат работы
remote (только USA)
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
Principal Forward Deployed Engineer - Software Engineering (AI): Building and delivering production-grade software and AI solutions directly in customer environments with an accent on hands-on engineering, technical leadership, and translating business needs into actionable approaches. Focus on deploying LLM-based systems, navigating ambiguity, influencing senior stakeholders, and transitioning engagements to FDE crews.

Location: United States; remote, with 0 days per week in-office

Base pay: $142,800–$274,800 per year across the U.S.; $188,000–$304,200 per year in the San Francisco Bay Area and New York City metropolitan area.

Company

Microsoft Frontier Company Engineering delivers production-ready software solutions for complex organizations through a Forward Deployed Engineering model.

What you will do

  • Shape customer opportunities and translate business needs into actionable technical approaches.
  • Build and deliver production-grade solutions in customer environments with end-to-end ownership.
  • Deliver iterative, high-impact solutions quickly in ambiguous and fast-moving environments.
  • Engage senior stakeholders, build trust, align priorities, and guide technical and business decisions.
  • Apply industry and customer context to tailor solutions and drive sustained impact.
  • Prepare and transition engagements to FDE crews with clear scope and technical direction.

Requirements

  • Bachelor’s degree in Computer Science or a related technical field and 6+ years of technical engineering experience with coding, or equivalent experience.
  • Experience coding in languages including C, C++, C#, Java, JavaScript, or Python.
  • Work authorization sponsorship is not available for this role.
  • Comfort with customer-facing technical delivery and collaboration with senior stakeholders.
  • Willingness to travel up to 25%.

Nice to have

  • Master’s degree and 8+ years of technical engineering experience, or bachelor’s degree and 12+ years of experience, or equivalent experience.
  • Hands-on experience building and deploying LLM-based systems.
  • Experience ensuring AI model quality and performance using modern cloud AI platforms.

Culture & Benefits

  • Growth mindset, innovation, collaboration, respect, integrity, and accountability.
  • Inclusive workplace culture focused on enabling people and organizations to achieve more.
  • Benefits and additional compensation may be available depending on the role.

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