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Applied AI Architect (LLM)

190 000 - 230 000GBP
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/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 (LLM): Designing and deploying scalable Claude-based solutions for digital native businesses with an accent on customer-facing architecture, cloud integration, and safe AI implementation. Focus on developing evaluation frameworks, translating business requirements into technical systems, and guiding integrations across engineering, product, and sales stakeholders.

Location: London, UK; hybrid attendance with staff expected to work from an office at least 25% of the time. Occasional travel to customer sites is required.

Annual compensation: £190,000–£230,000 GBP OTE, including base salary and target sales commissions or bonuses.

Company

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

What you will do

  • Partner with account executives to understand customer requirements and translate business objectives into technical solutions.
  • Advise digital native customers throughout Claude adoption, from technical discovery and evaluation through deployment.
  • Support integrations using the Claude API and Claude for Work within existing technology stacks.
  • Design scalable architectures and guide technical decisions for LLM-based solutions.
  • Help customers create evaluation frameworks for measuring Claude’s performance in specific use cases.
  • Develop technical content for engineering teams, executives, founders, and other stakeholders, while sharing integration insights with Product and Engineering.

Requirements

  • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
  • Experience working with digital native businesses, fast-moving technology companies, or scale-ups and technical buying stakeholders.
  • Experience designing scalable cloud architectures and integrating modern technology stacks.
  • Comfort with Python and familiarity with common LLM frameworks and tools, or a background in machine learning or data science.
  • Strong communication skills for explaining complex technical concepts to technical and business audiences.
  • Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Culture & Benefits

  • Collaborative work across Sales, Product, Engineering, research, policy, and business teams.
  • Flexible working hours and a hybrid office environment.
  • Generous vacation and parental leave.
  • Competitive compensation and benefits with optional equity donation matching.
  • Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.

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