Our goal is to build the enterprise AI platform that enables the next generation of pharmaceutical innovation, putting the world's most capable and secure AI infrastructure in the hands of thousands of scientists, researchers, and developers across AstraZeneca
Job Summary
Our goal is to build the enterprise AI platform that enables the next generation of pharmaceutical innovation, putting the world's most capable and secure AI infrastructure in the hands of thousands of scientists, researchers, and developers across AstraZeneca.
You'll lead a global team of AI engineers and product managers working on ML platform design, SDK development, cost optimization, developer tools, enterprise partnerships, and regulatory compliance.
At AstraZeneca, we pride ourselves on a collaborative culture that champions knowledge-sharing, ambitious thinking, innovation, and sustainability while balancing personal and work commitments with flexible in-office engagement.
Matching Summary
Our goal is to build the enterprise AI platform that enables the next generation of pharmaceutical innovation, putting the world's most capable and secure AI infrastructure in the hands of thousands of scientists, researchers, and developers across AstraZeneca.
Skills & Requirements
Must-have
Enterprise AI platform leadership
ML infrastructure architecture
AWS cloud environment expertise
GxP compliance frameworks
Developer and scientist experience focus
Budget and resource management
SAFe agile principles
Nice-to-have
Life science systems GxP compliance
Multi-cloud experience
Large scale data processing pipelines
Scientific community building
Collaborative culture
Sustainability commitment
Modern DevOps toolchains
Key Requirements
At least 5 years senior leadership in enterprise AI platforms
Strong software coding skills, preferably Python
Experience with AWS services like SageMaker, Athena, S3
B.S. degree or equivalent in Computer Science or related field
Experience managing budgets including FTE and outsourced services
Experience with internal security standards and frameworks