Senior AI Architect for Regulated Clinical Trials

BeOne Medicines Ltd.

Emeryville (CA)

Presencial

USD 180.000 - 240.000

Jornada completa

Hace 13 días

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Descripción de la vacante

BeOne Medicines Ltd. seeks a Sr. Principal Software and AI Engineer to act as the senior technical authority for AI-powered applications across drug development, with emphasis on protocol generation and clinical trial execution.

You will shape R&D AI strategy, set technical direction for the engineering team, and contribute hands-on to critical components while establishing best practices for AI-native development within a validated SDLC.

Formación

  • Senior leadership with ownership of product direction and delivery.
  • Experience shipping production-grade AI/ML applications in regulated environments.
  • Strong collaboration with clinical, medical writing, biostatistics, and operations teams.

Responsabilidades

  • Architect, build, and deploy AI-powered applications to accelerate protocol generation and clinical trial execution.
  • Define scalable platform architecture for multi-agent orchestration and LLMOps lifecycle.
  • Set AI-native development standards, evaluation, observability, and validated SDLC processes.
  • Mentor engineers through design reviews, code reviews, and hands-on guidance.

Conocimientos

Full-stack software engineering
Multi-agent AI-native apps
Frontier model apps
Knowledge engineering
Evaluation & reliability
AI-assisted development
Platform & infrastructure

Educación

Bachelor's degree + 7+ years
Master's degree + 5+ years
PhD + 3+ years

Herramientas

Python
.NET
PostgreSQL
Elasticsearch
Neo4j
MCP
AWS/Azure/GCP

Descripción del empleo

BeOne Medicines Ltd. seeks a Sr. Principal Software and AI Engineer to act as the senior technical authority for AI-powered applications across drug development, with emphasis on protocol generation and clinical trial execution.

You will shape R&D AI strategy, set technical direction for the engineering team, and contribute hands-on to critical components while establishing best practices for AI-native development within a validated SDLC.

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