Principal AI Engineer
Core
Architecting and delivering production-grade AI agents, RAG solutions, and intelligent workflows to transform R&D processes in clinical diagnostics.
Role type
Principal AI Engineer (R&D)
Builds
Production-grade AI agents, engineering assistants, agentic workflows, and RAG solutions for R&D teams.
Domain
Life sciences, diagnostics, biotechnology, medical devices.
Deliverable
production ML models
Required skills
Enterprise software development, LLM application development, agent frameworks, RAG architectures, vector databases, cloud AI services, AI governance, model risk management, technical leadership, cross-functional partnership.
Preferred skills
Medical devices, diagnostics, healthcare, biotechnology, Model-Based Systems Engineering (MBSE), requirements management, risk management, engineering lifecycle tools.
Responsibilities
Architect and deliver production-grade AI agents and agentic workflows; Design and scale intelligent solutions for software development and validation; Develop secure and scalable RAG solutions; Own technical direction for agent architecture and AI governance; Partner with R&D, quality, and regulatory teams to scale solutions.
Seniority
Principal, hands-on IC with strategy & mentorship
