AWS Trainium / AI Infrastructure Engineer

Capgemini•Atlanta, GA
•Remote

About The Position

We are looking for an experienced AI Infrastructure Engineer with expertise in AWS cloud, large-scale AI/ML platforms, and distributed model training. The candidate should have hands-on experience with AWS Trainium/Inferentia, AWS Neuron SDK, SageMaker, EKS/Kubernetes, and scalable AI infrastructure. AWS positions Trainium as a purpose-built accelerator for AI training and inference at scale.

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.

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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
  • Company paid holidays
  • Personal Days
  • Sick Leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service