Overview

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.As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You''ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.Working closely with our Sales, Product, and Engineering teams, you''ll guide customers from initial technical discovery through successful deployment. You''ll leverage your expertise to help customers understand Claude''s capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.Responsibilities

Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementationServe as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer successSupport customers building with both the Claude API and Claude for WorkCreate and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executivesGuide technical architecture decisions and help customers integrate Claude effectively into their existing technology stackHelp customers develop evaluation frameworks to measure Claude''s performance for their specific use casesIdentify common integration patterns and contribute insights back to our Product and Engineering teamsTravel occasionally to customer sites for workshops, technical deep dives, and relationship buildingMaintain strong knowledge of the latest developments in LLM capabilities and implementation patternsYou May Be a Good Fit If You Have

5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account ManagerExperience working with enterprise customers, navigating complex buying cycles involving multiple stakeholdersExceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering and IT teams, and moreStrong technical communication skills with the ability to translate customer requirements between technical and business stakeholdersExperience designing scalable cloud architectures and integrating with enterprise systemsComfortable with pythonFamiliarity with common LLM frameworks and tools or a background in machine learning or data scienceExcitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing prioritiesA love of teaching, mentoring, and helping others succeedExcellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing prioritiesPassion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systemsDeadline to apply

Deadline to apply: None. Applications will be reviewed on a rolling basis.Salary

The expected salary range for this position is £105,000 - £160,000 GBPLogistics

Education requirements:

We require at least a Bachelor’s degree in a related field or equivalent experience.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. 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.Policy:

Guidance on Candidates'' AI Usage: Learn about our policy for using AI in our application processEquity, equality, and inclusion

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.

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