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Salary: GBP 165,000 - 190,000 / annual
Anthropic is seeking an Applied AI Architect to join the Startups Applied AI team in London. In this role, you will serve as a trusted technical partner to founders and engineering teams, helping startups successfully build on the Claude Developer Platform as they scale from early product to market.
You will combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and maximize the value of Claude. Working closely with Account Executives and cross-functional teams (Sales, Product, Engineering), you will guide startups through the entire journey from initial technical discovery through successful deployment and expansion.
Key responsibilities include:
- Partnering with Account Executives to understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey
- Winning technical evaluations by demonstrating Claude's capabilities and helping startups develop evaluation frameworks for their specific use cases
- Building technical credibility with founders and engineering teams by understanding their build patterns and guiding architecture decisions
- Gathering insights on how startups use Claude, identifying emerging use cases and deployment patterns, and delivering feedback to Product and Engineering teams
- Traveling to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
Requirements:
- 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or as a technical founder who has done founder-led sales
- Experience working with startups or high-growth technology companies; understanding of early-stage company velocity and constraints
- Strong builder credibility through experience as a software engineer or technical founder; ability to earn trust of technical founders and startup engineering teams
- Deep technical proficiency with building and scaling AI products; knowledge of AI engineering best practices
- Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
- Strong technical communication skills; ability to translate complex AI concepts into actionable insights
- Track record of selling technical products in competitive markets
- Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
- Bachelor's degree or equivalent combination of education, training, and professional experience in a field relevant to the role
- Passion for making powerful technology safe and societally beneficial
