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About the Role
We are seeking an Applied AI Architect to join the Beneficial Deployments team, focusing on maximizing Claude's impact in the life sciences sector. The goal is to accelerate scientific progress from R&D through translation by making Claude the preferred tool for the entire life sciences ecosystem. This role involves serving as the primary technical advisor to life sciences partners, driving engagements from discovery to deployment, and collaborating with the segment lead and Applied AI Engineers.
Responsibilities
- Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey.
- Partner with the segment lead to understand scientific workflows end-to-end and translate them into impactful solutions from discovery through deployment.
- Transform partners into AI-native organizations through Claude Code and Claude Science enablements and research and business process evolution.
- Design and lead cohort-based accelerators to scale expertise and impact across multiple institutions.
- Identify challenges in deploying AI in life sciences and provide feedback to product, engineering, and research teams.
- Identify patterns across partners to inform ecosystem-level development, including MCP servers, benchmarks, evals, and reusable agent skills.
- Create technical presentations, demos, and scalable content like 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.
Requirements
- 8+ years in a technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer, Forward Deployed Engineer).
- Experience in life sciences, biomedical research, or scientific computing.
- 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 frameworks.
- A love of teaching, mentoring, and helping others succeed.
- A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.
Skills
- Claude Code
- Claude Science
- Prompt engineering
- Context engineering
- Evaluation frameworks
- Agent architectures
- Retrieval frameworks
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 8+ years
Education Level
- Bachelor’s degree or an equivalent combination of education, training, or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
Salary/Compensations
- £165,000—£190,000 GBP
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- 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.
- Beneficial Deployments ensures AI reaches and benefits the communities that need it most.
- We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.
- We believe that the highest-impact AI research will be big science.
- At Anthropic we work as a single cohesive team on just a few large-scale research efforts.
- We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
- We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.
- We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.
- We greatly value communication skills.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.