Senior Platform Engineer helping design, scale, and harden Pivotal’s AI - driven platform. Collaborating closely with engineering teams to improve reliability, security, and scalability.
About the role
- 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.
Benefits
- Health insurance
- Flexible work arrangements
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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