This role leads the technical architecture strategy for the Lilly Medicine Foundry, establishing foundational platforms for AI solutions that scale across manufacturing and clinical operations
Job Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry, establishing foundational platforms for AI solutions that scale across manufacturing and clinical operations.
The successful candidate will design enterprise-grade AI architectures including LLM deployment, MLOps infrastructure, and regulatory-compliant frameworks meeting FDA and GxP standards.
You will partner closely with Enterprise Architecture, Data & Analytics, and Security teams to integrate AI capabilities seamlessly into the technology ecosystem while mentoring a team of engineers.
Matching Summary
This role leads the technical architecture strategy for the Lilly Medicine Foundry, establishing foundational platforms for AI solutions that scale across manufacturing and clinical 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
Cloud architecture AWS Azure GCP
Regulatory compliance FDA 21 CFR Part 11
Python programming and containerization
Nice-to-have
Pharmaceutical industry domain knowledge
Experience with clinical trial manufacturing
Leadership of distributed architecture teams
Published research or patents in AI
Advanced degree in Computer Science
TOGAF or cloud architect certifications
Thought leadership in AI architecture
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 designing enterprise-scale AI platforms
Deep expertise in modern AI/ML frameworks and LLMs
Experience with MLOps tools like Kubeflow, MLflow, SageMaker