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Applied AI Architect

  • Source: Greenhouse
  • Anthropic
  • On-site
  • New York City
  • Mid level

Job Description

Who you are

  • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
  • 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 trade-offs, and balancing competing priorities
  • A love of teaching, mentoring, and helping others succeed
  • Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
  • We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed

What the job involves

  • 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
  • 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

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents
  • Inclusive fertility benefits via Carrot Fertility
  • 22 weeks of paid parental leave
  • Flexible paid time off and absence policies
  • Mental health support for you and your dependents
  • Competitive salary and equity packages
  • Option…

Skills

  • Python
  • carrot-fertility
  • greenhouse

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