[London] Applied AI Architect, Partnerships

London · GBP 150,000-190,000 / year · 5+ years experience · Hybrid · Posted Sep 28, 2026

At a glance

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators and cloud partners.
You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy.

Act as a technical thought partner to the Anthropic GTM partnerships team.
Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities.
Serve as an escalation point for complex technical issues.
Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment.
Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences.
Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns.

5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager
A track record of partnering successfully 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 and engineering and IT teams
Strong presentation and technical communication skills, with the 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
Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems

Location-based hybrid policy expecting staff to be in one of the offices at least 25% of the time