Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
API @ 6
Claude Code
Communication @ 6
FinTech @ 4
GDPR
LLM @ 6
Leadership @ 4
Machine Learning
Prompt Engineering @ 4
Security @ 3
System Architecture @ 6
Technical Proficiency @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
This role leads the EMEA Digital Natives Applied AI Architecture team, driving adoption of frontier AI across SaaS scale-ups, fintechs, marketplaces, consumer platforms, and developer-tooling businesses. The team helps customers successfully deploy Claude Enterprise, Claude Code, and the Claude API in production while addressing business needs, technical requirements, reliability, and safety.
Responsibilities
- Manage and mentor a distributed team of Applied AI Architects across EMEA, providing technical guidance and career development.
- Set goals and run performance reviews that drive growth and output.
- Work directly with high-value EMEA digital-native customers on AI adoption strategies, including use-case scoping, building technical champions, and running proofs of concept.
- Partner with EMEA go-to-market leadership to understand customer requirements and co-build segment strategy.
- Own the technical side of pre-sales, ensuring compelling demos and customer ROI validation.
- Guide customers through EMEA-specific technical and procurement requirements, including GDPR, the EU AI Act, and data residency.
- Align cross-functional stakeholders across time zones and regions to drive business outcomes.
- Travel regularly across EMEA for executive sessions, technical workshops, and relationship building.
- Lead the vision and execution of solutions using Anthropic's latest models for technology-focused use cases.
- Represent Anthropic in the European technology community through conferences, meetups, webinars, and technical content.
- Stay current on AI/ML developments and the competitive landscape in the European technology sector.
Requirements
- 7+ years of experience as a Solutions Architect, Sales Engineer, or in a similar pre-sales technical role.
- 3+ years of experience managing pre-sales or technical go-to-market teams, ideally across multiple EMEA markets.
- Experience selling to and working with digital-native companies, such as vertical or horizontal SaaS, consumer technology, fintech, PaaS, or developer platforms.
- Familiarity with how European technology companies evaluate and procure technology, including security reviews, DPAs, and regulatory scrutiny.
- Deep technical proficiency with API integrations, production LLM use cases, and AI-powered system architecture.
- Hands-on experience with prompt engineering and LLM evaluation, plus working knowledge of how large language models are built and operate.
- Strong understanding of developer tooling, SDKs, and integration patterns used by modern software companies.
- Ability to build foundational teams in unstructured, fast-moving environments.
- Strong executive presence and the ability to build trust with CTOs, engineering leaders, and technical founders.
- Excellent communication, collaboration, and coaching skills.
- Ability to clarify ambiguous problems and identify principles that apply across scenarios.
- Passion for making powerful technology safe and beneficial.
- A bachelor's degree or equivalent combination of education, training, and experience. The field of study should be relevant to the role as demonstrated through coursework, training, or professional experience.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
- Visa sponsorship may be available; Anthropic states that it sponsors visas and makes reasonable efforts to support successful candidates with immigration counsel.
Work Arrangement
Anthropic currently expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time.
More jobs at Anthropic
Principal Engineer Capacity/Compute
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Principal Engineer Capacity/Compute
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Staff+ Software Engineer, Enterprise (Full Stack)
Anthropic · San Francisco, United States, New York City, United States
USD 405,000-485,000 per year
Applied AI Architect, Security Specialist
Anthropic · San Francisco, United States, New York City, United States
USD 300,000-400,000 per year
Principal Engineer Capacity/Compute
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Similar jobs
Applied AI Engineer, Public Sector
Anthropic · Washington, United States
USD 280,000-320,000 per year
Offensive Security Engineer
Stripe · United States
USD 179,000-268,400 per year
Staff Software Engineer, Risk Engineering
Stripe · Toronto, Canada
CAD 208,000-312,000 per year
Principal ML Solutions Architect - Token Factory
Nebius · United States
USD 208,000-261,000 per year
Manager, Applied AI Architecture, Enterprise Tech
Anthropic · San Francisco, United States, New York City, United States
USD 0 per year
AI Engineer
Stripe · Atlanta, United States, Toronto, Canada, Chicago, United States
USD 126,600-235,300 per year
Staff Workday Integration Engineer, Tech Foundations
Airbnb · United States
USD 180,000-225,000 per year
AI Deployment Specialist, Beneficial Deployments
Anthropic · San Francisco, United States, New York City, United States
USD 0 per year