Manager of Solutions Architecture, Applied AI (Industries) · Anthropic

Sat, 18 Apr 2026 15:38:48 GMT
Engineering

Anthropic · London, UK · Annual Salary: £170,000-£215,000 GBP · hybrid

As the Manager of the Applied AI Architect team for Northern European Industries at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across our Industries accounts: large enterprises across all non-tech verticals in the UK, Ireland and the Nordics.

You'll 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.

Responsibilities:

Hire, manage and mentor a team of Applied AI Architects for Northern Europe, providing both technical guidance and career development

Set goals and reviews for your team, promoting growth and output

Work with a handful of highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, architecture reviews, technical champion building, technical adoption workshops and POC execution

Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption across all industry verticals

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 tailored for all non-tech sectors, including Financial Services & Insurance, Healthcare, Telco, Retail and others.

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

3+ years of technical go-to-market management experience, specifically managing pre-sales teams

Experience working with and selling to large enterprise customers across multiple verticals

Demonstrated ability to navigate and articulate complex technical, organisational and regulatory requirements of large enterprises, in particular in regulated industries (e.g FSI, Healthcare & Life Sciences)

A proven knowledge of the Northern European market and its local specificities (regulatory, cultural, technical…)

Experience framing and delivering enterprise AI use cases (productivity, workflow transformation) and/or scoping large enterprise adoption programs

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

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 ability to foster deep relationships with technical leaders and engineering teams

High-level familiarity with the architecture and operation of LLM 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 can 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

A track record of staying current with emerging AI research and industry trends or similar.

Strong candidates may also have:

10+ years technical experience

5+ years managing AI technical teams in hypergrowth (ideally from 10 to 50+)

Previous experience leading solutions architect or pre-sales teams through rapid growth

Proven experience and understanding across all key non-tech industry verticals, in particular the regulated industries: Financial Services, Insurance, Healthcare, Life Sciences, Telco, Retail, Consumer Goods, Manufacturing, Oil & Gas, etc.

In addition to English, native or fluency in a Northern European language

Demonstrated experience in defining and delivering enterprise AI use cases in regulated industries: e.g, Banking, Insurance, Healthcare and Life sciences

Track record of 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)

Background at enterprise AI software or API-first companies serving large enterprise customers

Proven experience building a Northern European AI team