The Applied AI Engineer role within Anthropic’s Beneficial Deployments team focuses on increasing Claude’s impact across life sciences. You will collaborate with leading research institutions to deliver production systems, agent prototypes, and shared infrastructure that supports scientific workflows.
Role Focus
This position is centered on accelerating scientific progress from R&D through translation by an order of magnitude. Work is embedded directly within partner teams, with a goal of helping research teams use Claude in their day-to-day scientific processes. The Applied AI team is part of the founding effort to bring life sciences closer to the frontier.
Responsibilities
- Partner closely with flagship life sciences research institutions by understanding their scientific workflows end-to-end, collaborating hands-on with their engineering teams, and moving projects from early exploration into production systems integrated into routine research.
- Build reusable ecosystem infrastructure, including MCP servers for domain-specific data sources such as genomics platforms, literature databases, and experimental repositories, as well as instruments, scientifically grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
- Assess what is genuinely difficult about deploying AI in life sciences, including heterogeneous data, auditability requirements, and the prototype-to-trust gap, and communicate those findings back to product, engineering, and research teams.
- Create technical content and documentation that enables partners to self-serve, supporting global scaling of what works for one institution without requiring the same level of hand-holding.
Requirements
- Deep research experience in life sciences, biomedical research, or scientific computing.
- Bonus: study experience in genomics, neuroscience, or drug discovery, with comfort working at a detailed technical level with academic collaborators.
- Experience building LLM-powered tools or applications, including prompting, context engineering, agent architectures, and evaluation frameworks.
- Builder credibility demonstrated through shipping production code as a software engineer, forward-deployed engineer, or technical founder.
- A scrappy mindset, including comfort operating across multiple responsibilities, building from scratch, driving clarity in ambiguous situations, and taking whatever steps are needed to advance the mission.
Technologies
- Claude
- LLM-powered tools
- MCP servers
About Beneficial Deployments
Beneficial Deployments exists to ensure AI reaches and benefits the communities that need it most. The team partners with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.
Compensation & Benefits
- USD 280,000 to 320,000 per year
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- A lovely office space to collaborate with colleagues
Education, Field of Study & Experience
- 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 required will correlate with internal job level requirements for the position.
Location & Working Model
San Francisco, CA (hybrid). Anthropic expects staff to be in one of its offices at least 25% of the time, though some roles may require more time in the office.
Visa Sponsorship
Anthropic does sponsor visas. The company is not able to successfully sponsor visas for every role and candidate, but if an offer is made, it will make reasonable efforts to support visa sponsorship and retains an immigration lawyer to help.
Recruiter Safety
Anthropic recruiters only contact candidates from @anthropic.com email addresses. Legitimate recruiters will never ask for money, fees, or banking information before the first day. For confirmed openings, candidates should visit anthropic.com/careers directly if unsure about a communication.
How Anthropic Approaches AI Research
- Belief that the highest-impact AI research is “big science.”
- Working as a single cohesive team on a small number of large-scale research efforts.
- Emphasis on impact and advancing long-term goals of steerable, trustworthy AI.
- Viewing AI research as an empirical science with parallels to physics and biology.
- High collaboration, including frequent research discussions.
- Valuing communication skills.
