GrepJob
Anthropic

Solutions Architect, Applied AI (Commercial)

Anthropic
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about 6 hours ago
New York, NY, USA or San Francisco, CA, USA
Mid Level / Senior
H1B Sponsor

Base Salary

$240k - $315k/yr

Responsibilities

  • Partner with account executives to understand customer requirements and translate them into technical solutions.
  • Serve as the primary technical advisor to customers throughout their Claude adoption journey.
  • Support customers building with the Claude API, Claude Code, and Claude for Enterprise.
  • Ship working code by building prototypes and proof-of-concepts.
  • Create reusable blueprints, demos, and enablement assets for scalability.
  • Guide technical architecture decisions for effective integration of Claude.
  • Help customers develop evaluation frameworks to measure Claude's performance.
  • Identify common integration patterns and provide insights to Product and Engineering teams.
  • Travel occasionally to customer sites for workshops and relationship building.
  • Maintain knowledge of the latest developments in LLM capabilities.

Requirements

  • 3+ years of technical experience as a software engineer or in a similar role with customer-facing exposure.
  • A builder identity with experience shipping real software.
  • A systems mindset focused on creating reusable solutions.
  • Strong coding ability, particularly in Python.
  • Ability to build trust with technical stakeholders and adjust communication for varied audiences.
  • Strong technical communication skills to translate customer requirements.
  • Experience designing scalable cloud architectures and integrating with enterprise systems.
  • Familiarity with common LLM frameworks or a background in machine learning.
  • Comfort operating in early-stage, ambiguous environments.
  • Excitement for cross-organizational collaboration and balancing competing priorities.
  • A passion for teaching, mentoring, and helping others succeed.
  • A commitment to advancing safe AI systems.

Benefits

  • Competitive compensation and benefits.
  • Optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours.
  • A collaborative office space.

Tech Stack

Python

Categories

AI & MLData Science