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Forward Deployed AI Engineer (West)

155 000 - 190 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
middle
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
Forward Deployed AI Engineer (West) (GenAI/MLOps): Designing and delivering production-grade GenAI observability and evaluation programs, custom integrations, and technical workflows for enterprise AI teams with an accent on Python, Java, TypeScript, cloud platforms, and customer-facing engineering. Focus on scaling AI applications, managing concurrent client engagements, and translating business requirements into reliable technical solutions under demanding timelines.

Location: Remote, but candidates must be based in the San Francisco Bay Area or work in the PST time zone

Annual salary and variable compensation: $155,000–$190,000, plus equity

Company

Arize AI provides an AI and agent engineering observability and evaluation platform for building, testing, monitoring, and optimizing reliable AI applications.

What you will do

  • Design, implement, and scale production-grade GenAI observability and evaluation programs for enterprise AI teams.
  • Lead technical discussions with engineers and senior executives, translating business priorities into scalable solutions.
  • Build custom integrations, tooling, and workflows that extend the Arize platform.
  • Manage multiple customer engagements from scoping through delivery.
  • Collaborate with Sales, Customer Success, Product, and Engineering to shape implementation strategy and product direction.
  • Define technical playbooks and delivery methodologies for the Forward Deployed Engineering team.

Requirements

  • 2–5 years of hands-on software development experience.
  • Strong proficiency in at least two of Python, Java, and TypeScript.
  • Experience building MLOps pipelines or developing, deploying, and iterating on production Generative AI applications.
  • Experience with public cloud platforms such as AWS, GCP, or Azure, plus Docker and Kubernetes.
  • Ability to communicate with technical and business audiences, including senior executives.
  • Ability to manage multiple client engineering engagements in demanding timelines and adapt to fast-paced startup or consulting environments.

Culture & Benefits

  • Remote-first work model with offices in New York City and the San Francisco Bay Area for optional in-person work.
  • WFH monthly stipend for employees outside those office locations.
  • Medical, dental, and vision insurance.
  • 401(k) plan, unlimited paid time off, and generous parental leave.
  • Mental and wellness support, responsible AI discussions, and culture-focused events.

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