Applied AI Architect Lead, EMEA Commercial

EUR 215,000-260,000 per year
SENIOR
✅ Hybrid
✅ Visa Sponsorship

Used Tools & Technologies

Machine Learning

Required Skills & Competences

Security @ 4 Hiring @ 4 Leadership @ 4 Scoping @ 4 Technical Proficiency @ 6 Communication @ 7 GDPR @ 3 API @ 4 LLM @ 6 Compliance @ 4 Claude Code @ 4 AI @ 4 Change Management @ 4 Prompt Engineering @ 4

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The team is a growing group of researchers, engineers, policy experts, and business leaders working to build beneficial AI systems.

About the Role

As the Lead of the Commercial Applied AI Architect team for EMEA, based in the Dublin office, you will drive adoption of Anthropic's products (Claude for Enterprise, Claude Code, and the API) across commercial accounts throughout Europe (companies with fewer than 2,500 employees). This is a player-coach role: you will personally own technical wins on a set of accounts while leading a team of 3–5 Applied AI Architects across Dublin and London. You will establish processes and best practices, help team members achieve success and career growth, and represent Anthropic as a technical lead on important partnerships across the region.

You will collaborate with Sales, Product, and Engineering to help commercial customers across multiple European markets incorporate AI systems into internal business transformation initiatives and customer-facing products. The role requires explaining and demonstrating complex solutions to technical and non-technical audiences across countries, languages, and regulatory environments while maintaining safety and reliability standards.

Responsibilities

  • Hire, manage, and mentor a team of Applied AI Architects across Dublin and London, providing technical guidance and career development
  • Set goals and performance reviews for your team, promoting growth and output
  • Personally own the technical win on a handful of highest-value commercial customers, focusing on pre-sales technical excellence including use-case scoping, technical champion building, and POC execution
  • Partner closely with Dublin-based Commercial sales leadership to co-build go-to-market strategies and run the qualification and coverage model for the segment
  • Own technical portions of pre-sales engagements, ensuring compelling demos and validated customer ROI from Anthropic products
  • Develop scalable technical engagement frameworks and reusable assets, localized for different European markets and regulatory requirements
  • Drive cross-functional collaboration to influence and unify stakeholders at all levels of the organisation
  • Travel across Europe for executive-level sessions, technical workshops, and relationship building
  • Lead vision, strategy, and execution of innovative solutions that leverage latest model capabilities
  • Contribute to thought leadership through conference presentations, webinars, and technical content
  • Stay current with emerging AI/ML trends and the competitive landscape across the European commercial segment

Requirements

  • 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
  • 2+ years leading pre-sales practitioners as a manager, team lead, or player-coach, including hiring and developing technical talent
  • Experience working with and selling to commercial or mid-market customers across multiple European markets and managing a distributed, multi-lingual team
  • Experience supporting both internal enterprise use cases (productivity, workflow transformation) and product-building use cases (API/platform integration)
  • Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
  • Demonstrated ability to build scalable, repeatable processes and frameworks that work across diverse customer segments
  • Strong organisational mindset and ability to build foundational teams in unstructured environments
  • Excellent communication, collaboration, and coaching abilities; strong executive presence
  • At least a high-level familiarity with the architecture and operation of large language models and/or ML in general
  • Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
  • Ability to make ambiguous problems clear and identify core principles that translate across scenarios
  • A passion for making powerful technology safe and societally beneficial

Strong candidates may also have

  • Previous experience leading solutions architect or pre-sales teams through rapid growth, or operating as a player-coach while building a new function
  • Fluency in an additional European language (e.g., French, German, Spanish, or Italian)
  • Experience with private equity portfolio companies or understanding of PE-backed business dynamics
  • A track record building technical playbooks and assets that scale across diverse customer segments
  • Understanding of both digital-native technical requirements (API integration, developer experience) and traditional enterprise needs (security, compliance, change management)
  • Familiarity with EU AI regulations such as GDPR and the EU AI Act

Compensation

Annual Salary: €215.000 - €260.000 EUR

Logistics

  • Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience
  • Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time (some roles may require more time in-office)
  • Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to help, though not every role/candidate is guaranteed sponsorship

How we're different

Anthropic emphasises large-scale research, collaborative work across a few large research efforts, communication skills, and impact. Recent research directions include work related to GPT-3, interpretability, multimodal neurons, scaling laws, and AI safety.

Apply

Application asks for standard contact details, resume/LinkedIn, and includes candidate guidance on AI usage in the hiring process.