Applied AI Architect, Beneficial Deployments (Life Sciences)
Core
Primary technical advisor for life sciences research institutions and mission-driven organizations, driving Claude adoption from discovery through deployment to accelerate scientific progress.
Role type
Senior Applied AI Architect (Life Sciences)
Builds
Cohort-based accelerators, scalable content (documentation, tutorials, sample code), and ecosystem-level tools (MCP servers, benchmarks, reusable agent skills).
Domain
Life Sciences, Biomedical Research, Scientific Computing
Deliverable
Production ML models | product features | client delivery
Required skills
Customer-facing technical expertise (Solutions Architect, Customer Engineer, etc.), Life sciences/biomedical research domain knowledge, Academic research institution engagement, LLM implementation patterns (prompt/context engineering, agent architectures, retrieval frameworks), Technical mentoring and teaching
Preferred skills
Genomics, neuroscience, or drug discovery experience, Building trust with mission-driven scientific organizations
Technologies
Claude Code, Claude Science, MCP servers
Responsibilities
Partner with segment lead to translate scientific workflows into impactful AI solutions, Transform partners into AI-native organizations via enablement and process evolution, Design and lead cohort-based accelerators, Identify deployment challenges and feedback to product/engineering, Spot patterns to inform ecosystem-level builds, Create scalable technical content and demos, Travel to partner sites for workshops and relationship building, Help shape team processes and culture
Seniority
Senior, hands-on IC with customer-facing focus
