Назад
6 часов назад

Applied AI Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Applied AI Architect (AI): Developing joint GenAI solutions and scalable cloud architectures with an accent on partner enablement, enterprise integration, and reference architecture design. Focus on solving complex technical challenges with GSIs and cloud providers, unblocking strategic customer deals, and advancing safe AI deployment practices.

Location: Paris, France; hybrid policy requiring staff to be in an office at least 25% of the time

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

  • Build strategic technical relationships with global and regional system integrators and cloud partners including AWS and GCP.
  • Identify high-value, industry-specific GenAI applications and develop joint solutions with partners.
  • Define reference architectures and best practices to accelerate solution deployment.
  • Support strategic customer deals by providing solution architecture guidance and resolving complex technical issues.
  • Lead or support partner developer events, hackathons, workshops, summits, and technical enablement sessions.
  • Gather partner feedback on products, use cases, and deployment patterns to inform product roadmaps and partner strategy.

Requirements

  • 5+ years of experience in technical customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
  • Proven experience partnering with global system integrators and/or cloud providers from solution design through customer delivery.
  • Strong relationship-building, presentation, and technical communication skills, including communication with executives, engineering teams, and IT stakeholders.
  • Experience designing scalable cloud architectures and integrating enterprise systems.
  • Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
  • Bachelor’s degree or equivalent education, training, and professional experience in a relevant field.

Culture & Benefits

  • Collaborative environment focused on large-scale AI research and high-impact work.
  • Flexible working hours and an office environment designed for collaboration.
  • Competitive compensation and benefits.
  • Optional equity donation matching, generous vacation, and parental leave.
  • Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
  • Emphasis on safe, beneficial AI, communication, teaching, mentoring, and diverse perspectives.

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