AstraZeneca seeks a Director-level Principal Data Engineering Lead to establish enterprise data and AI strategy for drug development in Chennai. The role involves building scalable, production-grade systems and autonomous frameworks that embed intelligence into the digital backbone of scientific discovery and late-stage development.

Responsibilities

Define long-term Data and AI strategy for drug development including platform investments, capability roadmaps, and technology choices
Partner with AI science teams to design reusable agentic patterns, GenAI components, and scalable solutions for enterprise workflows
Lead multi-functional engineering teams delivering end-to-end solutions from prototype through robust, compliant production systems
Define engineering standards, governance frameworks, and design patterns covering data models, APIs, security, deployment, and monitoring
Establish and operate AI/ML governance controls, GenAI production controls, and comprehensive evaluation frameworks for reliability and security

Requirements

Track record leading end-to-end AI-native product delivery in controlled or enterprise environments
Demonstrated ability translating GenAI and agent-based research into scalable industrial solutions
Deep knowledge of modern cloud and data architecture patterns including microservices and serverless
Hands-on experience with Docker, Kubernetes, SQL/NoSQL databases, CI/CD, and infrastructure-as-code
Proficiency in Python and secure software engineering practices
Experience mentoring engineers and leading high-performing technical teams
Ability to influence senior stakeholders and shape technology strategy across business functions

Director - Principal Data Engineering Lead

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