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20 часов назад

Specialist Solutions Architect (AI/ML)

180 000 - 247 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Specialist Solutions Architect (AI/ML): Guiding customers in architecting production-grade ML & AI applications on the hirify.global Data Intelligence Platform with an accent on GenAI, MLOps, and end-to-end pipeline optimization. Focus on designing RAG architectures, agentic systems, and influencing product roadmaps through deep technical expertise.

Location: Must be based in the United States

Salary: $180,000 — $247,500 USD

Company

hirify.global is the data and AI company, providing a unified platform for data, analytics, and AI used by over 10,000 organizations worldwide.

What you will do

  • Architect production-level ML & AI workloads, including agents, end-to-end pipelines, and training/inference optimization.
  • Serve as a technical practitioner for enterprise GenAI solutions, including RAG, agentic systems, and AI observability.
  • Scale and optimize customer AI workloads using best-in-class MLOps practices.
  • Provide advanced technical support to Solution Architects during the sales process.
  • Collaborate with product and engineering teams to represent the voice of the customer and influence the product roadmap.

Requirements

  • 5+ years of hands-on industry ML experience in ML Engineering or AI Engineering.
  • Experience with LLMs, agentic systems, vector databases, and deployment tools like HuggingFace or Langchain.
  • Graduate degree in a quantitative discipline or equivalent practical experience.
  • Must be based in the United States.
  • Ability to travel up to 30% when needed.
  • Strong communication skills for teaching technical concepts to diverse audiences.

Culture & Benefits

  • Comprehensive benefits and perks tailored to regional needs.
  • Commitment to a diverse and inclusive culture with equal employment opportunity standards.
  • Opportunity to work with cutting-edge technologies in GenAI and MLOps.
  • Collaborative environment with a focus on mentorship and thought leadership.

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