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Mid LevelFull-timePythonRustAWSMachine LearningData ScienceGitAIAPI
Salary Range
$14,450 - $19,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
As an Applied AI team member at Anthropic India, you will serve as a Pre-Sales architect focused on helping large enterprises across India and the Asia-Pacific region understand the value of Claude and integrate it into their technology stack. You will combine technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability.
Key Responsibilities
- →Partner with account executives to translate customer requirements 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
- →Support customers building with both the Claude API and Claude for Work
- →Create and deliver compelling technical content tailored to different audiences
- →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
- →Identify common integration patterns and contribute insights to Product and Engineering teams
- →Travel occasionally within India and the APAC region for workshops and technical deep dives
- →Maintain strong knowledge of the latest developments in LLM capabilities
- →Collaborate across time zones with global teams
Requirements
- ✓10+ years of experience in technical customer-facing roles
- ✓Experience working with enterprise customers in India or the APAC region
- ✓Exceptional ability to build relationships with diverse stakeholders
- ✓Strong technical communication skills
- ✓Experience designing scalable cloud architectures and integrating with enterprise systems
- ✓Comfortable with Python
- ✓Familiarity with common LLM frameworks or background in machine learning/data science
- ✓Passion for using technology safely and beneficially
- ✓Ability to work effectively across cultures and time zones
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