Mlops infrastructure and model lifecycle management
This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical supply chains and manufacturing
Job Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical supply chains and manufacturing.
The successful candidate will design enterprise-grade AI platforms integrating MLOps, Generative AI, and LLMs while ensuring strict adherence to pharmaceutical regulatory standards.
You will partner with global teams to establish architectural governance, mentor engineering talent, and drive innovation in AI-driven drug discovery and production.
Matching Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical supply chains and manufacturing.
Skills & Requirements
Must-have
5+ years software architecture experience
Enterprise-scale AI/ML platform design
MLOps infrastructure and model lifecycle management
LLM architectures including RAG and fine-tuning
Cloud architectures AWS Azure GCP
Regulatory compliance FDA 21 CFR Part 11 GxP
Python containerization Docker Kubernetes
Nice-to-have
Pharmaceutical or biotech industry background
Experience with clinical development operations
Published research or patents in AI/ML
Advanced degree in Computer Science or Data Science
Enterprise architecture certifications TOGAF
Leadership of distributed international teams
Knowledge of vector databases and semantic search
Key Requirements
5+ years in software architecture or ML engineering
2+ years focused on AI/ML systems architecture
Experience architecting solutions in regulated industries
Strong background in cloud deployment at scale
Proven track record leading architecture functions