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AnthropicAnthropic

Applied AI Architect, Enterprise Tech

Architects and guides enterprise Claude integrations from technical discovery and evaluation through deployment, serving as a trusted advisor to customers and internal teams. The role requires 5+ years in customer-facing technical work, scalable cloud architecture experience, Python familiarity, and strong communication across executive and engineering audiences.

About the job

Responsibilities

  • Partner with account executives to understand customer requirements and translate them into aligned technical solutions.
  • Serve as the primary technical advisor to enterprise customers throughout Claude adoption, from discovery and evaluation through deployment.
  • Coordinate across internal teams and stakeholders to drive customer success.
  • Support customers building with the Claude API and Claude for Work.
  • Create and deliver technical content for engineering, development, business, and executive audiences.
  • Guide architecture decisions and help customers integrate Claude into existing technology stacks.
  • Help customers develop evaluation frameworks to measure Claude's performance for specific use cases.
  • Identify common integration patterns and share insights with Product and Engineering teams.
  • Travel occasionally to customer sites for workshops, technical deep dives, and relationship building.
  • Maintain knowledge of LLM capabilities and implementation patterns.

Requirements

  • 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
  • Experience working with enterprise customers and complex, multi-stakeholder buying cycles.
  • Ability to build relationships and communicate technical concepts to C-suite executives, engineering teams, IT teams, and other audiences.
  • Strong technical communication skills, including translating 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.
  • Strong collaboration, communication, mentoring, and interpersonal skills.
  • Passion for using technology safely and beneficially to advance safe AI systems.
  • Bachelor's degree or equivalent combination of education, training, and experience.

Compensation and Benefits

  • Annual compensation range: $240,000–$315,000 USD. For sales roles, this is the On Target Earnings range, including target commissions or bonuses and annual base salary.
  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • Collaborative office space.
  • Hybrid schedule requiring 3 days in the office per week.

Skills

Claude API, Claude For Work, Python, Llm Frameworks, Machine Learning, Data Science, Cloud Architecture, Enterprise Systems Integration, Evaluation Frameworks, Technical Architecture

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