Applied AI Engineer, DNB

As an Applied AI Engineer on the Digital Native Business team, you will help fast-growing, tech-forward companies build products on Claude. You will serve as a technical advisor for architecture, agent design, and evaluation, working hands-on with customer engineering teams through pair programming and architecture reviews to move from prototype to production. You will partner with Account Executives and Applied AI Architects to guide customers through technical evaluation and proof of value, then support them as they ship and scale. You will also develop custom evaluation frameworks, prototypes, and reference architectures, and contribute insights back to Product and Engineering teams.

• Serve as a deep technical advisor to high-growth, tech-forward companies building innovative AI use cases.
• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions.
• Develop prototypes and technical documentation, including evaluation suites, AI engineering techniques, and architecture diagrams.
• Collaborate with Applied AI Architects to maintain context across customer engagements.
• Identify patterns across engagements and contribute insights to Product, Engineering, and the Applied AI team.
• Create technical content for developer audiences, including documentation, tutorials, and sample code.
• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events.
• Travel to customer sites for workshops, implementation support, and relationship building.

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder.
• Experience in a customer-facing or pre-sales technical role, partnering with customers to scope, design, and deliver solutions.
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python and experience building production applications.
• Experience working with high-growth, tech-forward companies.
• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases.
• Builder credibility that earns trust with technical founders and engineering leaders.
• Strong technical communication skills to translate complex AI concepts into architectural decisions and implementation plans.
• Experience facilitating technical workshops, hackathons, or developer-focused events.
• Passion for making powerful technology safe and beneficial.

Annual Salary: £225,000—£255,000 GBP.

Minimum education: Bachelor’s degree or 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.

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.

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.

Anthropic works as a single cohesive team on a few large-scale research efforts, valuing impact and communication skills. The company offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.