AI Infrastructure Engineer

Posted 2 days ago

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About the role

  • AI Infrastructure Engineer building scalable AWS AI/ML platforms for Capgemini Engineering. Supporting distributed LLM training, inference, and cloud-native deployment.

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 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 for future business and technology initiatives

Requirements

  • 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

Benefits

  • Paid time off based on employee grade: vacation 12–25 days, company-paid holidays, personal days, and sick leave
  • Medical, dental, and vision coverage, or provincial healthcare coordination in Canada
  • Retirement savings plans, including RRSP in Canada
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
  • Variable incentives, bonuses, or commissions may be available depending on the position and applicable laws

Job type

Full Time

Experience level

Mid levelSenior

Salary

CA$72,056 - CA$138,940 per year

Degree requirement

No Education Requirement

Tech skills

AWSCloudDockerEC2KubernetesPythonPyTorch

Location requirements

RemoteCanada

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