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Applied AI Architect (Global Customers)

AIHybrid — Bangalore, India
Published on 2026-11-04
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Serve as a pre-sales technical advisor to enterprise customers in India and APAC, helping them assess and integrate Claude into their technology environments. Guide customers from discovery and evaluation through deployment, with a focus on scalable architectures, measurable outcomes, and safe, reliable AI.

About the company

Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.

Stack

Claude APIClaude for WorkPython

What you'll do

  • Partner with account executives to turn customer needs into technical solutions
  • Advise enterprise customers throughout Claude adoption, from discovery and evaluation to deployment
  • Design integration architectures for customers’ existing technology stacks
  • Help customers build evaluation frameworks for their use cases
  • Deliver technical deep dives and business-focused presentations to varied audiences
  • Share common integration patterns and customer insights with Product and Engineering
  • Travel occasionally within India and APAC for customer workshops and technical sessions

What we're looking for

  • 10+ years in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
  • Experience with enterprise customers in India or APAC and complex buying cycles
  • Strong technical communication and relationship-building skills across executive and engineering audiences
  • Experience designing scalable cloud architectures and integrating enterprise systems
  • Comfortable with Python
  • Ability to collaborate across cultures, teams, and time zones

Nice to have

  • Familiarity with LLM frameworks and tools
  • Background in machine learning or data science
  • Experience teaching, mentoring, and helping others succeed

Benefits

  • Flexible working hours
  • Generous vacation and parental leave
  • Optional equity donation matching
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