Software Engineering
Anthropic
Anthropic's Beneficial Deployments team works to ensure AI reaches and benefits the communities that need it most, partnering with nonprofits, foundations and mission-driven organizations to deploy Claude in education, global health, economic mobility and the life sciences. This London-based Applied AI Architect role focuses on maximizing Claude's impact in the life sciences, with the ambition of accelerating scientific progress from research and development through translation by an order of magnitude. You will be the primary technical advisor to life sciences partners, including flagship research institutions such as the Howard Hughes Medical Institute and the Allen Institute, driving engagements from discovery through deployment alongside the life sciences segment lead and Applied AI Engineers, as part of the founding Beneficial Deployments Applied AI team. The annual salary is 165,000 to 190,000 GBP. Anthropic operates a location-based hybrid policy and currently expects staff to be in one of its offices at least 25 percent of the time. On visa sponsorship, the listing states: 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.
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Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey, translating scientific workflows into impactful solutions from discovery through deployment. Help partners become AI-native organizations through Claude Code and Claude for Science enablement and evolution of research and business processes. Design and lead cohort-based accelerators to scale expertise and impact across multiple institutions at once, and feed findings about what is hard in life sciences AI deployment back to product, engineering and research. Identify patterns across partners to inform ecosystem-level work such as MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills. Create technical presentations, demos and scalable content such as documentation, tutorials and sample code. Travel occasionally to partner sites for workshops, technical deep dives and relationship building. Help shape team processes and culture as the team scales.
8 or more years in a technical role, ideally with customer-facing exposure such as Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer or Forward Deployed Engineer. Experience in life sciences, biomedical research or scientific computing; genomics, neuroscience or drug discovery experience is a bonus, along with comfort getting deeply technical with academics. Experience working in or building trust with academic research institutions, biotech, pharma or other mission-driven scientific organizations. Familiarity with common LLM implementation patterns including prompt and context engineering, evaluation frameworks, agent architectures and retrieval. A love of teaching and mentoring, and a scrappy mentality comfortable building from scratch in ambiguous situations. Bachelor's degree or equivalent experience in a relevant field. Expected to be in the London office at least 25 percent of the time.
Salary not disclosed
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