This role offers the opportunity to architect and scale an enterprise AI platform that accelerates how new medicines reach patients globally
Job Summary
This role offers the opportunity to architect and scale an enterprise AI platform that accelerates how new medicines reach patients globally.
You will own the end-to-end strategy from experimentation to serving while ensuring secure, scalable foundations aligned with GxP standards.
The position requires leading multi-functional teams to foster a culture of DevOps and continuous improvement within a collaborative office environment.
Matching Summary
This role offers the opportunity to architect and scale an enterprise AI platform that accelerates how new medicines reach patients globally.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Enterprise AI platform architecture
DevOps and MLOps practices
Infrastructure as Code (Terraform)
Python programming skills
Docker containerization
GPU/CPU capacity planning
GxP compliance standards
Nice-to-have
Multi-tenant multi-region design
Kubernetes and Kubeflow expertise
Model lifecycle tool experience
Executive storytelling abilities
Distributed training frameworks
Self-service developer experiences
Cost optimization strategies
Key Requirements
Proven technical leadership in AI/ML platforms
Experience in regulated healthcare environments
Strong analytical and problem-solving skills
Ability to mentor junior and mid-level engineers
Knowledge of security standard processes in AI systems