Head of Platform Engineering managing the AI infrastructure for drug discovery at Genesis Molecular AI. Leading a team to build reliable platforms for training and deploying AI models.
Responsibilities
Lead, mentor, and grow a high-impact platform engineering team, setting technical standards and fostering strong engineering culture
Partner closely with ML research, product leaders, and computational chemist teams to ensure the platform meets real user needs
Own the end-to-end platform and infrastructure strategy supporting data, training, and large-scale inference
Design, build, and operate systems for large-scale AI workloads
Stay hands-on when needed, with the ability to review code and provide technical feedback
Navigate full lifecycle of AI infrastructure complexity
Bring clear technical judgment to ambiguous problems
Requirements
8+ years experience leading teams in fast-moving environments
Experience designing and operating infrastructure for AI training and inference at scale
Strong systems thinking and ability to reason about tradeoffs across performance, cost, reliability, and development velocity
Engineering craftsmanship and coding skills
Comfortable operating across abstraction layers from cloud to ML platforms and developer tooling
Experience navigating organizational complexity and managing conflicts, dependencies, and tradeoffs
Curiosity and willingness to learn about AI for biology or drug discovery is essential.
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