Назад
27 дней назад

Solutions Architect, Applied AI

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
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
Solutions Architect, Applied AI (Claude/LLM): Designing enterprise AI solutions and guiding customers from technical discovery and evaluation through Claude API and Claude for Work deployment with an accent on scalable cloud architectures, enterprise integration, and technical advisory. Focus on developing evaluation frameworks, translating business requirements into reliable AI architectures, and solving complex implementation challenges across customer and internal teams.

Location: Sydney, Australia; hybrid policy requires staff to be in an Anthropic office at least 25% of the time. Occasional travel to customer sites across Australia is required.

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems, including Claude.

What you will do

  • Partner with account executives across Australia to understand enterprise requirements and translate business objectives into technical solutions.
  • Act as the primary technical advisor throughout customer discovery, evaluation, adoption, and deployment of Claude.
  • Support customers building with the Claude API and Claude for Work.
  • Design scalable cloud architectures and guide integration with existing enterprise technology stacks.
  • Create technical content for engineering, development, and executive audiences, and deliver workshops and technical deep dives.
  • Help customers develop evaluation frameworks and share common integration patterns with Product and Engineering.

Requirements

  • 8+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
  • Experience working with enterprise customers and complex, multi-stakeholder buying cycles.
  • Strong communication skills with the ability to explain technical concepts to executives, engineering teams, and IT stakeholders.
  • Experience designing scalable cloud architectures and integrating enterprise systems.
  • Comfort with Python and familiarity with common LLM frameworks and tools, 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 safe, trustworthy, and beneficial AI.
  • Flexible working hours and an office environment designed for collaboration.
  • Competitive compensation and benefits, including generous vacation and parental leave.
  • Optional equity donation matching.
  • Visa sponsorship is available, with reasonable efforts and immigration lawyer support for eligible offers.

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