About the Beijing AI Center
The Beijing AI Center is a new strategic investment by AstraZeneca to accelerate drug discovery through AI. The center brings together AI researchers, computational scientists, and platform engineers to apply foundation models, agentic AI, and large-scale scientific computing to real R&D problems. Situated in one of the world’s most dynamic AI talent markets, it operates at the intersection of biologics discovery, computational chemistry, and AI-driven drug discovery.
The center is structured around three pillars: Discovery verticals (therapeutic design and preclinical predictions), Data & AI Platforms, and Ecosystem Partnerships with leading Chinese academic institutions and AI companies. This role sits within the Data & AI Platforms pillar, with a mandate to bring the center’s Agentic AI platform to life for China R&D.
About the Role
This role owns the Agentic AI platform for AstraZeneca’s China R&D organization. You are the single point of product accountability — from vision and roadmap through delivery and measured impact — for the platform that puts agentic AI capabilities in the hands of China R&D scientists and functions.
You connect demand to delivery. You partner with internal customers across China R&D to identify and frame the problems worth solving, translate them into a compelling product vision and a prioritized roadmap, and work with engineers, scientists, and platform teams to ship the right capabilities. You use data and evidence — not opinion — to drive prioritization and trade-off decisions, escalating when necessary without damaging relationships.
You operate at the seams of the organization. The platform only delivers value when it is wired into the broader ecosystem, so you will interface continuously with China R&D, Business Development (BD), and global functions including Enterprise AI — ensuring the China platform both leverages and contributes to AstraZeneca’s enterprise-wide AI strategy.
You will be most visible where the work is hardest. You will own the entire product lifecycle, represent the platform independently across organizations and technical levels, and personally drive the most ambiguous, cross-functional, or time-sensitive decisions from concept through production.
What You Will Do
Product Vision & Roadmap (35%)
Connect with internal customers across China R&D to identify, frame, and prioritize the problems the Agentic AI platform will solve
Create a compelling product vision and strategy for the Agentic AI platform that solves complex R&D business problems and aligns to China R&D and enterprise priorities
Own the product roadmap and blueprint — sequencing capabilities to ensure value delivery through well-scoped MVPs and prioritized use cases
Manage trade-off decisions between business opportunities and available resources, using data and evidence to drive prioritization
Assess build, buy, and partner options for platform capabilities, evaluating partnership and technology opportunities for strategic fit and feasibility
Execution & Delivery (40%)
Own the entire product lifecycle of the Agentic AI platform, working with engineers, scientists, and other stakeholders to deliver the right products
Drive execution, implementation, and delivery of prioritized use cases from idea to production, following lean and agile principles
Translate requirements into delivery through clear requirements engineering, backlog ownership, and scrum-based ways of working
Measure and communicate impact — define success metrics for the platform and its use cases, instrument them, and use the results to refine the roadmap
Explore and solicit innovative concepts and technologies with stakeholders, incorporating emerging agentic AI capabilities into the platform
Stakeholder Engagement & Communication (25%)
Interface across China R&D, BD, and global functions including Enterprise AI — ensuring the China platform aligns with and contributes to AstraZeneca’s enterprise AI…