Join a collaborative environment at AstraZeneca to lead the design of GenAI and agentic AI solutions that transform biopharmaceutical development
Job Summary
Join a collaborative environment at AstraZeneca to lead the design of GenAI and agentic AI solutions that transform biopharmaceutical development.
You will operationalize AI excellence by evaluating model families, implementing safety guardrails, and optimizing inference for latency and cost.
The role requires mentoring junior engineers and driving MLOps foundations including monitoring, drift detection, and compliance with production readiness standards.
Matching Summary
Join a collaborative environment at AstraZeneca to lead the design of GenAI and agentic AI solutions that transform biopharmaceutical development.
Skills & Requirements
Must-have
GenAI and agentic AI architecture
Python TensorFlow PyTorch C#
React TypeScript front-end development
Vector databases and embedding models
MLOps CI/CD and model deployment
Safety guardrails and hallucination controls
Nice-to-have
Background in biologics development workflows
Experience with regulatory submission environments
Strong collaboration with UX and product teams
Global stakeholder management across time zones
Red-teaming and content filtering expertise
Key Requirements
Master's or PhD in Computer Science or related field
Substantial experience building production AI applications
Proven expertise in LLMs, RAG, and agentic systems
Experience in regulated enterprise or scientific environments