Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
Applied AI Architect Lead, EMEA Commercial
About The Role
As the Lead of the Commercial Applied AI Architect team for EMEA, you will drive the adoption of frontier AI by enabling deployment of Anthropic's products (Claude for Enterprise, Claude Code, and the API) across commercial accounts throughout Europe. Based in our Dublin office, you will leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses customers’ business needs, meets technical requirements, and provides high reliability and safety.
Responsibilities
Hire, manage, and mentor a team of Applied AI Architects across Dublin and London, providing both technical guidance and career development.
Set goals and 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 the Dublin‑based Commercial sales leadership to co‑build go‑to‑market strategies and run the qualification and coverage model that drive adoption across the segment's diverse verticals and European markets.
Own the technical portions of pre‑sales engagements, ensuring your team provides compelling demos and validates customer ROI from Anthropic products.
Develop scalable technical engagement frameworks and reusable assets that can be adapted across digital‑native, traditional industry, and PE portfolio company contexts, localized for different European markets and regulatory requirements.
Drive collaboration from cross‑functional teams to influence and unify stakeholders at all levels of the organisation to drive business outcomes.
Travel across Europe to customer sites for executive‑level sessions, technical workshops, and relationship building.
Establish a shared vision for creating solutions that enable beneficial and safe AI.
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities.
Contribute to thought leadership through conference presentations, webinars, and technical content creation.
Stay current with emerging AI/ML trends and the competitive landscape across the European commercial segment.
Qualifications
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 across locations.
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 and where technical resources are lean relative to sales.
Organisational mindset and enjoy building foundational teams in a relatively unstructured environment.
Excellent communication, collaboration, and coaching abilities.
Comfort dealing with highly uncertain, ambiguous, and fast‑moving environments.
Strong executive presence and the ability to foster deep relationships with technical leaders and engineering teams.
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.
Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks.
Stay up‑to‑date and informed by taking an active interest in emerging research and industry trends.
Preferred Qualifications
Previous experience leading solutions architect or pre‑sales teams through rapid growth, or operating as a player‑coach while building out a new function.
Fluency in an additional European language (e.g. French, German, Spanish, or Italian).
Experience with private equity portfolio companies or an 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. This range includes both the sales commissions/bonuses target and annual base salary for the role.
Logistics & Benefits
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
Required field of study: A field relevant to the role demonstrated through coursework, training, or professional experience.
Minimum years of experience: Align with internal job level requirements.
Location‑based hybrid policy: Staff are expected to be in one of our offices at least 25% of the time, with some roles requiring more time in the office.
Visa sponsorship: We sponsor visas; however, availability varies by role and candidate.
EEO & Diversity
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.
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