Lead AI Enablement Technology
Core
Lead the engineering strategy, infrastructure, and safety frameworks for AI capabilities across R&D IT, serving scientific and engineering teams.
Role type
Senior IC/Lead AI Infrastructure and MLOps Engineer
Builds
AI inference and serving infrastructure, HPC clusters, model serving stacks, and safety/guardrails frameworks
Domain
Chemical industry R&D, High-Performance Computing (HPC), AI Infrastructure
Deliverable
production ML models
Required skills
AI infrastructure and MLOps, HPC and scientific compute, team leadership, technology roadmap planning, safety and red-teaming frameworks, vendor management, cost optimization, architecture decision making
Preferred skills
PyTorch, TensorFlow, Kubernetes, Ray, vector databases, LLM tooling, change management
Technologies
Kubernetes, Ray, PyTorch, TensorFlow, Slurm, Vector Databases
Responsibilities
Own operational performance of AI Enablement function across HPC, inference, and agentic workloads; Direct line management for area leads; Drive technology roadmap for AI infrastructure; Manage HPC investments and GPU procurement; Partner with data and bioinformatics IT functions; Own evaluation and safety framework for AI at scale; Build consensus on cross-boundary technical patterns; Establish and monitor KPIs for infrastructure utilization and cost efficiency; Develop capability-building programmes for R&D teams; Manage vendor relationships and technology partnerships
Seniority
Senior, hands-on IC with leadership responsibilities
