Senior Principal AI Engineer — Regulated Pharma & Multi-Agent Systems

BeOne Medicines Ltd.

San Mateo (CA)

On-site

USD 180,000 - 300,000

Full time

13 days ago

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Job summary

BeOne Medicines Ltd. seeks a Sr. Principal Software and AI Engineer to lead AI-powered drug development and regulate SDLC for protocol generation and clinical trial execution. You will shape R&D AI strategy, set technical direction, and build critical components, while mentoring engineers and ensuring GxP and compliance.

You will collaborate with clinicians, statisticians, data scientists, and operations to deliver scalable, production-grade multi-agent platforms and robust observability.

Qualifications

  • Experience shipping production-grade AI and agentic apps.
  • Regulated environments knowledge preferred.
  • Experience as tech lead or principal engineer leading large-scale AI products.
  • Pharma or life sciences exposure is strongly preferred.

Responsibilities

  • Architect, build, and deploy AI and agentic applications across drug development.
  • Collaborate with clinicians, medical writers, statisticians, data scientists and operations.
  • Define scalable multi-agent platform architecture and LLMOps lifecycle.
  • Mentor engineers through design reviews and code guidance.

Skills

Full-Stack Engineering
Multi-Agent Apps
Frontier Models
Knowledge Engineering
Evaluation & Reliability
AI-Assisted Development
Platform & Infrastructure

Education

Bachelor's degree
Master's degree
PhD

Tools

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

Job description

BeOne Medicines Ltd. seeks a Sr. Principal Software and AI Engineer to lead AI-powered drug development and regulate SDLC for protocol generation and clinical trial execution. You will shape R&D AI strategy, set technical direction, and build critical components, while mentoring engineers and ensuring GxP and compliance.

You will collaborate with clinicians, statisticians, data scientists, and operations to deliver scalable, production-grade multi-agent platforms and robust observability.

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