3 дня назад
Applied AI Architect, Partnerships (AI)
150 000 - 190 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Architect, Partnerships (AI): Building joint generative AI solutions and scalable cloud architectures with an accent on partner enablement, enterprise integrations, and technical go-to-market execution. Focus on designing reference architectures, unblocking strategic customer deals, resolving complex technical issues, and translating partner feedback into product strategy.
Location: London, UK; hybrid policy requires staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time
Annual OTE compensation: £150,000–£190,000 GBP
Company
Anthropic develops reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.
What you will do
- Build technical relationships with global and regional system integrators and cloud partners, including AWS and GCP.
- Develop industry-specific generative AI solutions, reference architectures, and deployment best practices with partners.
- Provide solution architecture guidance and technical support for strategic customer deals.
- Enable partner AI practices through workshops, hackathons, developer events, presentations, and technical training.
- Support troubleshooting and act as an escalation point for complex technical issues.
- Gather partner-use-case feedback to inform product roadmaps and partnership 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.
- Experience partnering with system integrators or cloud providers from solution design through customer delivery.
- Strong relationship-building, presentation, and technical communication skills with technical, business, and executive stakeholders.
- Experience designing scalable cloud architectures and integrating enterprise systems.
- Familiarity with common LLM frameworks and tools, or experience in machine learning or data science.
- Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
Nice to have
- Experience teaching, mentoring, and enabling technically native communities.
- Experience supporting partner developer events, hackathons, or industry conferences.
Culture & Benefits
- Collaborative environment focused on trustworthy and steerable AI research.
- Competitive compensation and benefits with optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours and an office environment designed for collaboration.
- Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
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