Applied AI Architect, Industries

Anthropic Anthropic · AI Frontier · Paris, France · Applied AI

This role is an Applied AI Architect focused on pre-sales for large enterprises, acting as a trusted technical advisor to help them understand and integrate Anthropic's Claude LLM into their technology stack. The architect will design innovative LLM solutions, guide customers through the adoption journey, and help them develop evaluation frameworks.

What you'd actually do

  1. Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
  2. Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery through initial evaluation to deployment. You will be responsible for coordinating internally across multiple teams and stakeholders to ensure customer success
  3. Assist customers developing projects with the Claude API and Claude for Work
  4. Create and deliver compelling technical content tailored to different audiences. You will need to be able to go from technical deep dives for development teams to value-driven business conversations with executives.
  5. Guide technical architecture decisions and help customers effectively integrate Claude into their existing technology infrastructure.
  6. Help customers develop evaluation frameworks to measure Claude's performance in their specific use cases.
  7. Identify common integration patterns and provide insights back to our Product and Engineering teams.
  8. Occasionally travel to customer sites for workshops, technical deep dives, and relationship building
  9. Maintain a deep understanding of the latest developments in LLM capabilities and implementation patterns

Skills

Required

  • Python
  • Cloud architecture
  • Enterprise system integration
  • LLM frameworks and tools
  • Machine learning
  • Data science

Nice to have

  • Customer-facing technical roles
  • Solution architect
  • Sales engineer
  • Technical account manager
  • Complex buying cycles
  • Cross-organizational collaboration
  • Compromise and balance competing priorities
  • Teaching and mentoring
  • Creative thinking

What the JD emphasized

  • 5+ years of experience in customer-facing technical roles
  • Experience working with enterprise customers
  • Exceptional ability to build rapport with diverse stakeholders and communicate technical concepts to them
  • Strong technical communication skills
  • 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
  • Help customers develop evaluation frameworks

Other signals

  • customer-facing technical advisor
  • design scalable architectures
  • integrate Claude into their technology stack
  • develop evals