Remote AI Infrastructure Engineer — AWS & LLM Scale

Capgemini; Toronto; A distancia; CAD 72.000 - 139.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Descripción de la vacante

Capgemini Engineering Canada is seeking an experienced AI Infrastructure Engineer to design, deploy, and manage scalable AI/ML infrastructure on AWS. You will work with Trainium and Inferentia accelerators, SageMaker, and Kubernetes to support distributed training, inference, and deployment of large language models and generative AI features.

Responsibilities include optimizing performance and cost, implementing cloud-native solutions, and collaborating with data scientists to build reliable

Formación

• 5+ years in Cloud, Data, or AI Infrastructure.
• Experience supporting large-scale AI/ML training workloads in AWS environments.
• Exposure to Trainium or Inferentia is highly preferred.
• Experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference.
• Strong understanding of LLMs, Generative AI, distributed training, and AI/ML infrastructure.
• Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architecture.

Responsabilidades

• Design, deploy, and manage scalable AI/ML infrastructure on AWS using Trainium, Inferentia, SageMaker, and EKS.
• Support distributed model training, inference, and deployment for LLMs and Generative AI applications.
• Optimize AI workload performance, resource utilization, and cost efficiency across cloud environments.
• Implement containerized and cloud-native solutions using Kubernetes, Docker, and Infrastructure-as-Code practices.
• Collaborate with AI engineers and data scientists to enable reliable model development and deployment pipelines.
• Monitor, troubleshoot, and improve platform reliability, scalability, and operational excellence.

Conocimientos

AWS Cloud

Kubernetes (EKS)

Python

Docker

PyTorch

SageMaker

AI Infrastructure

LLMs / Generative AI

Cloud-native architecture

Performance optimization

Herramientas

AWS Neuron SDK

Trainium/Inferentia

EC2 Trn instances

SageMaker

Kubernetes

Descripción del empleo

Capgemini Engineering Canada is seeking an experienced AI Infrastructure Engineer to design, deploy, and manage scalable AI/ML infrastructure on AWS. You will work with Trainium and Inferentia accelerators, SageMaker, and Kubernetes to support distributed training, inference, and deployment of large language models and generative AI features.

Responsibilities include optimizing performance and cost, implementing cloud-native solutions, and collaborating with data scientists to build reliable