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обновлено 27 дней назад

Principal Solutions Engineer (AI)

212 000 - 265 000$
Тип работы
fulltime
Грейд
senior
Английский
c1
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 Solutions Engineer (AI): Architecting and leading the deployment of complex AI and LLM solutions for enterprise customers with an accent on technical strategy and executive alignment. Focus on designing production-ready AI systems, translating ambiguous customer needs into scalable architectures, and influencing the product roadmap.

Salary: $212,000–$265,000 USD annually, plus potential equity and benefits.

Company

Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies that help enterprises and governments build, deploy, and oversee AI applications.

What you will do

  • Own technical strategy and execution for complex, high-value enterprise opportunities and define the technical win.
  • Advise CTOs, Heads of AI, and engineering leaders on long-term AI and LLM adoption strategies.
  • Architect end-to-end solutions from discovery through pilots and productionization across ambiguous customer requirements.
  • Lead executive presentations, technical deep dives, workshops, and multi-phase Scopes of Work.
  • Align Sales, Product, and Engineering while resolving critical technical and business challenges.
  • Influence the product roadmap, mentor Solutions Engineers, and improve the scalability of the Solutions Engineering function.

Requirements

  • Deep technical background in customer-facing engineering, including pre-sales, forward-deployed, or post-sales roles at enterprise scale.
  • Track record of owning and closing complex technical deals with Fortune 500 or equivalent enterprises.
  • Systems thinking and architecture experience across cloud, data, and AI/ML systems.
  • Hands-on programming experience with Python, Java, or similar languages.
  • Experience advising executive stakeholders and influencing without authority across diverse teams.
  • Exceptional communication, ownership, intellectual curiosity, and ability to operate in ambiguous environments.

Nice to have

  • Experience with generative AI and LLM applications in enterprise environments.
  • Background in forward-deployed engineering or production-grade ML systems.
  • Experience in financial services, insurance, healthcare, or other regulated industries.

Culture & Benefits

  • Health, dental, and vision coverage.
  • Retirement benefits, learning and development stipend, and generous paid time off.
  • Potential equity compensation and commuter stipend for eligible roles.
  • Inclusive equal opportunity workplace with reasonable accommodation support.

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