AI Platform Engineering Lead

AI Connect is a Data & AI Delivery Partner that is building a next-generation AI platform capability to support advanced Machine Learning and Generative AI research. The AI Platform Engineering Lead will design, build, and operate the infrastructure for AI Researchers and ML Engineers to develop, train, experiment with, and deploy cutting-edge AI systems at scale.

Responsibilities:

• Design, build, and operate a scalable ML platform that supports the full machine learning lifecycle
• Develop and maintain Kubernetes-based infrastructure supporting AI, ML, and Generative AI workloads
• Build self-service capabilities that enable researchers and engineers to train, deploy, and manage models independently
• Support GPU-accelerated environments used for model training, experimentation, and inference workloads
• Design and implement infrastructure using Infrastructure as Code and modern cloud engineering practices
• Develop platform observability, monitoring, alerting, and operational tooling
• Work closely with AI Researchers, ML Engineers, and Software Engineers to understand and support evolving platform requirements
• Contribute to platform architecture decisions, engineering standards, and long-term technical strategy
• Support hybrid cloud environments spanning AWS and on-premise infrastructure
• Help evaluate and adopt new technologies that improve platform scalability, reliability, and developer experience