Applied AI Architect, Startups

USD 240,000-315,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Tech Stack

AI @ 2 Communication @ 6 LLM @ 3 Python @ 2 Technical Proficiency @ 2

Details

As an Applied AI Architect on Anthropic’s Startups team, you will be a technical partner to founders and engineers, helping startups build and scale applications on the Claude Developer Platform. You will combine deep technical expertise with a builder-first mindset to architect innovative LLM solutions, support technical evaluations, and guide successful deployments.

Responsibilities

  • Partner with Account Executives to understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor from evaluation through deployment and expansion.
  • Lead technical evaluations demonstrating how Claude can support startup products, including helping customers develop evaluation frameworks for their specific use cases.
  • Build technical credibility with founders, founding engineers, and startup engineering teams by understanding their development patterns and guiding architecture decisions.
  • Gather insights into how startups build with Claude, identify emerging use cases and deployment patterns, and provide feedback to Product and Engineering teams.
  • Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building.

Requirements

  • At least 3 years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder with founder-led sales experience.
  • Experience working with startups or high-growth technology companies.
  • Software engineering or technical founder experience demonstrating strong builder credibility.
  • Deep technical proficiency building and scaling AI products, including familiarity with AI engineering best practices.
  • Hands-on experience building and deploying LLM-powered applications in production.
  • Expertise in context engineering, evaluation frameworks, and modern AI architectures.
  • Strong technical communication skills and the ability to translate complex AI concepts into actionable insights for founders and engineering teams.
  • A track record of selling technical products in competitive markets.
  • Comfort with Python and familiarity with common LLM frameworks, tools, and integration patterns.
  • Passion for making powerful technology safe and societally beneficial.
  • Bachelor’s degree or an equivalent combination of education, training, and experience. The field of study must be relevant to the role through coursework, training, or professional experience.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office spaces for collaboration.

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