Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
GCP @ 3
Machine Learning @ 2
Data Science @ 2
AWS @ 3
Communication @ 6
Mentoring @ 3
LLM @ 2
AI @ 3
GenAI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Applied AI Architect, Partnerships (Partners Solutions Architect on the Applied AI team) is a pre-sales technical architect focused on cultivating technical relationships with Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). The role strengthens partner relationships to accelerate indirect revenue, enable partner AI practices, and execute on long-term go-to-market strategy.
Responsibilities
- Strategic Technical Partnership: Act as a technical thought partner to the Anthropic GTM partnerships team, provide technical expertise to understand the partner landscape, drive strategic programs, and identify opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in developer communities, and serve as an escalation point for complex technical issues.
- Joint Solution Development: Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment.
- Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
- Partner Ecosystem & Events: Represent Anthropic at partner events (GSI customer workshops, AWS summits, industry conferences). Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
- Product Feedback: Validate and gather feedback on Anthropic's products and offerings related to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Requirements
- 5+ years of experience in technical customer-facing / partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
- Track record partnering with GSIs and/or cloud providers to solve complex technical challenges from initial solution design through customer delivery.
- Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams.
- Strong presentation and technical communication skills; ability to translate requirements between technical and business stakeholders.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks and tools or a background in machine learning or data science.
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
- A passion for teaching, mentoring, and helping others succeed, and for using technology in a safe and beneficial way to advance safe AI systems.
Logistics
- Location: London, UK. Location-based hybrid policy: we expect staff to be in one of our offices at least 25% of the time.
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Minimum years of experience: Will correlate with internal job level requirements for the position.
- Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help, though sponsorship is not guaranteed for every role/candidate.
Compensation
- Annual Salary: £165,000 - £190,000 GBP
Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
How we're different
Anthropic emphasizes big-science AI research, collaboration across a single cohesive team, frequent research discussions, and impact-focused work in areas like interpretability, scaling laws, multimodal research, and AI safety.