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
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