This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical and manufacturing operations
Job Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical and manufacturing operations.
The successful candidate will design enterprise-grade AI platforms including MLOps infrastructure, LLM deployment patterns, and governance frameworks compliant with pharmaceutical regulations.
You will partner closely with global teams to establish architectural standards that ensure security, quality, and scalability while minimizing technical debt.
Matching Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry to enable scalable AI solutions across clinical and manufacturing operations.
Skills & Requirements
Must-have
5+ years software architecture experience
2+ years AI/ML systems architecture
Enterprise-scale AI/ML platform design
MLOps infrastructure and model lifecycle management
Cloud architecture AWS Azure GCP
Regulatory compliance FDA 21 CFR Part 11 GxP
Python programming and containerization
Nice-to-have
Pharmaceutical or biotech industry background
Experience with clinical development workflows
Published research or patents in AI/ML
Advanced degree in Computer Science or Data Science
TOGAF or cloud architect certifications
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 in regulated industries like healthcare or pharma
Strong background in cloud architectures (AWS, Azure, GCP)
Proven track record leading architecture functions
Deep understanding of data architecture and governance