Solutions Architect, Applied AI (Startups)

GBP 150,000-170,000 per year
MIDDLE
✅ Hybrid
✅ Visa Sponsorship

Used Tools & Technologies

Not specified

Required Skills & Competences

Python @ 2 Technical Proficiency @ 5 Communication @ 6 LLM @ 3 AI @ 3

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Startups Applied AI team helps early-stage companies build on the Claude Developer Platform. As a Solutions Architect on this team you will be an exceptional technical partner for founders and startup engineering teams, helping them architect, evaluate, and deploy LLM-powered products built on Claude.

Responsibilities

  • Partner with Account Executives to understand startup requirements, translate them into technical solutions, and act as a trusted technical advisor through evaluation, deployment, and expansion
  • Win technical evaluations by helping startups develop evaluation frameworks that measure Claude's performance for their use cases
  • Build technical credibility with founders and engineering teams by understanding their build patterns and guiding architecture decisions
  • Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and provide feedback to Product and Engineering teams
  • Travel to customer sites, startup 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 comparable technical-founder experience
  • Experience working with startups or high-growth technology companies and understanding early-stage constraints and velocity
  • Strong builder credibility through experience as a software engineer or technical founder
  • Deep technical proficiency building and scaling AI products and modern AI architectures
  • Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering and evaluation frameworks
  • Comfortable with Python and familiar with common LLM frameworks, tools, and integration patterns
  • Strong technical communication skills and ability to translate complex AI concepts for founders and engineering teams
  • Track record of selling technical products in competitive markets is desirable
  • Bachelor's degree in a related field or equivalent experience

Logistics

  • Location: London, United Kingdom
  • Location-based hybrid policy: staff are expected to be in one of Anthropic's offices at least 25% of the time (role-level expectations may vary)
  • Visa sponsorship: Anthropic states they sponsor visas and retain an immigration lawyer to assist, though sponsorship is not guaranteed for every candidate/role

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours and office space for collaboration