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, developer experience) and traditional enterprise needs (security, compliance, change management)
• Familiarity with EU AI regulations such as GDPR and the EU AI Act

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Logistics

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 as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.