Remote AI Infrastructure Engineer - AWS & ML Expert

Capgemini Engineering; Toronto; Remote; CAD 72,000 - 139,000; Full time

Job summary

Capgemini Engineering is seeking an experienced AI Infrastructure Engineer to design, deploy, and manage scalable AI/ML infrastructure on AWS using Trainium, Inferentia, SageMaker, and EKS. You will support distributed model training, inference, and deployment for LLMs and Generative AI applications.

The role emphasizes optimization of performance, resource use, and cost across cloud environments, with containerized, cloud-native solutions and IaC practices.

Qualifications

• 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.
• Experience in AI performance optimization, benchmarking, and migration from GPU-based environments to AWS AI accelerators.

Responsibilities

• Design, deploy, and manage scalable AI/ML infrastructure on AWS using Trainium, Inferentia, SageMaker, and EKS.
• Support distributed model training, inference, and deployment for Large Language Models (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, high-performance model development and deployment pipelines.
• Monitor, troubleshoot, and improve platform reliability, scalability, and operational excellence.
• Evaluate and implement emerging AI infrastructure technologies to support future business and technology initiatives.

Skills

AI Infrastructure

AWS Cloud

Kubernetes

Docker

Python

PyTorch

LLMs

SageMaker

Trainium

Inferentia

Neuron SDK

EC2 Trn

EKS

Tools

SageMaker

Trainium

Inferentia

Neuron SDK

EC2 Trn

EKS

Job description

Capgemini Engineering is seeking an experienced AI Infrastructure Engineer to design, deploy, and manage scalable AI/ML infrastructure on AWS using Trainium, Inferentia, SageMaker, and EKS. You will support distributed model training, inference, and deployment for LLMs and Generative AI applications.

The role emphasizes optimization of performance, resource use, and cost across cloud environments, with containerized, cloud-native solutions and IaC practices.