Applied AI Architect, Partnerships
Pre-sales Solutions Architect partnering with GSIs, RSIs, and cloud providers (AWS/GCP) to enable AI practices, develop joint GenAI solutions and reference architectures, support strategic deals, and gather product feedback. Requires 5+ years in customer/partner-facing technical roles with strong cloud architecture and communication skills.
About the job
Responsibilities
- Serve as a technical thought partner to the Anthropic GTM partnerships team, providing expertise on partner landscape, driving strategic programs, and deepening partner technical capabilities.
- Embed with GSI and cloud partner technical teams to enable AI practices, support troubleshooting, evangelize Anthropic, and act as escalation point for complex issues.
- Collaborate with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures/best practices.
- Provide deep technical expertise and solution architecture guidance to unblock strategic customer deals where partners handle primary delivery.
- Represent Anthropic at partner events, workshops, summits, conferences; lead or support developer events, hackathons, and technical enablement sessions.
- Gather and validate product feedback from partner use cases and deployment patterns to inform roadmap and strategy.
Requirements
- 5+ years in technical customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager.
- Track record of successfully partnering with GSIs and/or cloud providers (AWS, GCP) to solve complex technical challenges from design through delivery.
- Ability to build relationships and communicate technical concepts to diverse stakeholders including C-suite executives, engineering, and IT teams.
- Strong presentation and technical communication skills; ability to translate between technical and business requirements.
- Experience designing scalable cloud architectures and integrating with enterprise systems.
- Familiarity with common LLM frameworks and tools, or background in machine learning or data science.
- Excitement for cross-organizational collaboration, working through trade-offs, and balancing priorities.
- Passion for teaching, mentoring, and using technology safely and beneficially to advance safe AI systems.
- Bachelor’s degree or equivalent combination of education, training, and/or experience in a relevant field.
Nice-to-Haves
- Experience with GenAI applications, reference architectures, and best practices for deployment.
- Background in machine learning or data science beyond basic familiarity.
Skills
Solutions Architecture, Sales Engineering, Cloud Architecture, AWS, GCP, Llm Frameworks, Machine Learning, Generative AI, Enterprise Integration, Technical Communication, Partner Enablement
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