LocationThis role is remote anywhere in USA
About the job you're considering 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.
Your role - 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.
Your skills and experience - 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.
The base compensation range for this role in the posted location is: $76,730 to $150,800
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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 (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
