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Applied AI Architect, Industries

Anthropic · Munich, Germanysenior

In short

  • ▸Arquitecto técnico pre-venta de IA aplicada para empresas grandes.
  • ▸Ayudas a clientes a integrar Claude en sus sistemas con arquitecturas escalables y evaluaciones de rendimiento.
  • ▸Destaca por ser puente técnico entre clientes, ventas, producto e ingeniería, con enfoque en seguridad y escalabilidad.

Fluent English proficiency

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What they ask for

  • ✓5+ años en roles técnicos con clientes como Arquitecto de Soluciones o Engeniero de Ventas
  • ✓Nativo o nivel C1 en alemán y dominio del inglés
  • ✓Experiencia con clientes empresariales y ciclos de compra complejos
  • ✓Capacidad para comunicar conceptos técnicos a ejecutivos y equipos de ingeniería
  • ✓Experiencia diseñando arquitecturas en la nube escalables
  • ✓Conocimiento práctico de Python y marcos de LLM o ML

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Claude APIClaude for WorkPythonCloud architecturesEnterprise systemsLLM frameworksEvaluation frameworksSalesProductEngineering

Who should you write to at Anthropic?

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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 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. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: • 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. You will need to coordinate internally across multiple teams & stakeholders to drive customer success • Support customers building with both the Claude API and Claude for Work • Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives • 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 You may be a good fit if you have: • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager • Native or C1 German speaker with fluent English proficiency • Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders • Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more • Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders • Experience designing scalable cloud architectures and integrating with enterprise systems • Comfortable with python • Familiarity with common LLM frameworks and tools or a background in machine learning or data science • Excitement for engaging in cross-organizational collaboration, working through

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