Applied AI Architect Lead, EMEA Commercial

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About Anthropic

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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 the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and the API) across commercial accounts throughout Europe: companies with fewer than 2,500 employees spanning digital-native businesses, traditional industry verticals, and private equity portfolio companies. Based in our Dublin office, you will leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.

This is a player-coach role: you will personally own the technical win on a set of accounts while leading a team of 3 to 5 Applied AI Architects across Dublin and London. You'll establish the processes and best practices that let a lean team cover a high-velocity segment alongside a larger Dublin-based sales organisation, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across the region.

In collaboration with Sales, Product, and Engineering teams, you'll help commercial customers across Europe's diverse markets incorporate leading-edge AI systems into both internal business transformation initiatives and customer-facing products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike, across multiple countries, languages, and regulatory environments. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

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, localised 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

You may be a good fit if you have:

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

An 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

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 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,…