[London] Applied AI Architect, Partnerships
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Job Description
About Anthropic
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.
About the role
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 (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy.
Responsibilities
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Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues.
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Joint solution development: 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.
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Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
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Partner ecosystem and events: 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.
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Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy.
You may be a good fit if you have
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5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager
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A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
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Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams
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Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders
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Experience designing scalable cloud architectures and integrating with enterprise systems
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Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
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Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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A love of teaching, mentoring, and helping others succeed
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A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and
Skills & Technologies
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