Used Tools & Technologies
GenAIRequired 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
Generative AI @ 3
AI @ 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 role 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 long-term go-to-market strategy.
Responsibilities
- Strategic Technical Partnership: Act as a technical thought partner to the 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 partner developer communities, and serve as an escalation point for complex technical issues.
- Joint Solution Development: Collaborate with partners to identify high-value industry-specific generative AI applications, develop joint solutions, and codify reference architectures and best practices to accelerate time to deployment.
- Customer Deal Support: Intervene 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.
- Product Feedback: Validate and gather feedback on Anthropic's products and offerings related to partner use cases and deployment patterns, and deliver 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 (C-suite, 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 love of teaching, mentoring, and helping others succeed.
- Passion for using technology in ways that are safe and beneficial, aligned with advancing safe AI systems.
Logistics
- Annual compensation range: $275,000 - $380,000 USD.
- Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
- Location(s): San Francisco, CA and New York City, NY. Location-based hybrid policy: staff expected to be in an office at least 25% of the time (some roles may require more).
- Visa sponsorship: The company states they sponsor visas and retain an immigration lawyer to assist, though sponsorship is not guaranteed for every role/candidate.
Benefits
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
- Guidance on candidate AI usage during the application process is provided (link to policy).
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