Principal AI Engineer
Core
Define architecture, engineering standards, and technical direction for enterprise AI solutions transforming R&D in life sciences and diagnostics.
Role type
Principal AI Engineer (R&D)
Builds
Production-grade AI agents, RAG solutions, and intelligent engineering workflows for product development and systems engineering.
Domain
Life sciences, diagnostics, biotechnology, medical devices
Deliverable
production ML models
Required skills
Enterprise software architecture, LLMs, agent frameworks, RAG architectures, vector databases, cloud AI services, Python, C#, Java, AI governance, model risk management
Preferred skills
Medical devices, diagnostics, healthcare, biotechnology, Model-Based Systems Engineering (MBSE), requirements management, risk management
Technologies
Azure AI, OpenAI, Anthropic, Python, C#, Java
Responsibilities
Architect and deliver production-grade AI agents and agentic workflows; Design and scale intelligent solutions for software development and verification; Develop secure and scalable RAG solutions; Own technical direction for agent architecture and AI governance; Partner with R&D and regulatory teams to prioritize use cases and mentor engineers.
Seniority
Principal, hands-on IC with strategy & mentorship
