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Описание вакансии
Текст:
TL;DR
Applied AI Engineer, Enterprise (AI): Guiding UK enterprises through the technical evaluation, proof of value, procurement, and deployment of Claude with an accent on platform architecture, agent design, evaluation, and enterprise security. Focus on building technical and business value cases for C-level stakeholders, defining production architectures, and navigating multi-quarter engagements involving compliance, data residency, and governance.
Location: London, UK; hybrid policy requires staff to work from an office at least 25% of the time. The role also involves travel to customer sites across the UK.
Annual compensation: £225,000–£255,000 GBP OTE, including target sales commissions or bonuses and base salary.
Company
Anthropic builds reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.
What you will do
- Guide UK enterprise customers through technical evaluation, proof of value, procurement, and the decision to build on Claude.
- Lead the technical side of opportunities and remain a trusted Claude advisor throughout deployment.
- Define target architectures, evaluation criteria, and delivery expectations for customers and systems integration partners.
- Advise engineering teams on Claude Platform architecture, agent design, evaluation, security, and scale.
- Build and present business value cases to C-level and senior executive stakeholders.
- Feed enterprise engagement patterns back to Product, Engineering, and the Applied AI team.
Requirements
- 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder.
- Pre-sales or technical advisory experience with large enterprises, including evaluations, proofs of concept, security reviews, legal, and procurement.
- Experience with value-based selling and presenting business cases to C-level and VP-level stakeholders.
- Production experience with LLM-powered applications, prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
- Familiarity with enterprise security, compliance, architecture requirements, and regulated sectors.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Culture & Benefits
- Collaborative environment focused on safe, trustworthy, and steerable AI.
- Flexible working hours and a London-based hybrid office policy.
- Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
- Frequent research discussions and collaboration across research, engineering, policy, and business teams.
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