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Anthropic Limited is seeking a pre-sales architect to become a trusted technical advisor helping large enterprises understand Claude and how to deploy it into their technology stacks. You will partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation.
As the primary technical advisor, you will guide architectural decisions, support Claude API deployments, and
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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack. Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases. Identify common integration patterns and contribute insights back to our Product and Engineering teams. Travel occasionally to customer sites for workshops, technical deep dives, and relationship building. Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.