Enterprise Architect
Core
Define enterprise AI architecture strategy and design, build, and scale AI platforms to accelerate drug discovery and delivery.
Role type
Senior Enterprise Architect (AI/ML)
Builds
Scalable AI platforms, agentic AI systems, and foundation model integrations for pharmaceutical R&D.
Domain
Pharmaceutical industry, Enterprise AI, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise architecture leadership, Hands-on AI/ML engineering (LLMs, RAG, MLOps), Cloud platforms (AWS, Azure, Databricks), Python, TensorFlow/PyTorch, Kubernetes, Data governance, Team leadership
Preferred skills
Postgraduate degree in AI/Data Science, Thought leadership in enterprise AI, Experience in pharmaceutical AI, Agile AI delivery
Technologies
AWS (Bedrock, SageMaker), Azure (Azure AI, ML), Databricks, Python, TensorFlow, PyTorch, Kubernetes, LLMs, Vector databases
Responsibilities
Define AI architecture and reference standards aligned to business priorities, Architect scalable AI platforms across hybrid cloud environments, Lead architecture for agentic AI and foundation models, Embed governance and compliance across AI designs, Build and deploy ML/DL models with MLOps, Mentor AI architects and manage work packages
Seniority
Senior, hands-on IC with leadership responsibilities
