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2 дня назад

Senior Solutions Engineer (AI)

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

Senior Solutions Engineer (AI): Driving strategic technical account roadmaps and integration strategies for enterprise AI opportunities with an accent on architecting solutions using vector/NoSQL databases and RAG architectures. Focus on delivering high-impact technical presentations, building real-world demos, and solving complex technical challenges for large-scale AI production systems.

Location: Must be based in the San Francisco Bay Area. This is a work-from-home role with required travel to client locations.

Company

hirify.global provides a contextual data platform that makes business data AI-ready, enabling enterprises to build reliable, governed AI systems at scale.

What you will do

  • Drive strategic technical account roadmaps and engagement strategies for large enterprise customers.
  • Architect and lead integration strategies to facilitate horizontal expansion within accounts.
  • Craft and deliver high-impact technical presentations, demonstrations, and PoCs.
  • Build functional, real-world demos incorporating core database and AI capabilities.
  • Evangelize the AI suite at industry events, webinars, and through technical whitepapers.
  • Provide critical product feedback to the engineering and product teams.

Requirements

  • Must be located in the San Francisco Bay Area.
  • 10+ years of experience in technical sales or consulting for enterprise AI, databases, or big data systems.
  • Proven expertise in Docker, Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Deep experience with vector/NoSQL databases, LLM integration, and RAG architectures.
  • Fluency in Python and SQL with experience in distributed database systems.
  • Strong understanding of the enterprise sales cycle.

Nice to have

  • Experience with Graph databases or frameworks.
  • Technical understanding of data and AI/ML tooling, workflows, and enterprise trends.

Culture & Benefits

  • Opportunity to contribute to cutting-edge AI and data infrastructure.
  • Collaboration with experienced engineers, marketers, and product leaders.
  • Commitment to a diverse and inclusive team environment.
  • Support for continuous learning and professional growth.

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