AWS AI Infrastructure Engineer

Experis Austria; New Jersey; Remote; USD 128,943,000 - 143,270,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending-

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k), Plus Match

Weekly Pay

Job summary

ManpowerGroup, a global workforce solutions leader, is seeking an AWS AI Infrastructure Engineer to design and operate scalable AI/ML infrastructure on AWS for distributed model training and inference.

Join a team delivering cloud-native AI workloads with SageMaker, Trainium/Inferentia, and EKS, focusing on performance, benchmarking, and optimization across remote US environments. The role emphasizes collaboration, security, and scalable architectures for LLMs and generative AI platforms.

Qualifications

• 5+ years of experience in Cloud, Data, or AI infrastructure on AWS.
• Hands-on with AWS Trainium/Inferentia and EC2 Trn instances.
• Strong understanding of LLMs and generative AI.
• Experience with Kubernetes (EKS), Docker, Python, PyTorch.
• Experience migrating workloads to accelerator-based execution.
• Background check is mandatory.

Responsibilities

• Design, build, and support scalable AI/ML infrastructure on AWS for distributed model training and inference.
• Implement and operate AWS AI accelerator workflows using Trainium/Inferentia, EC2 Trn and Neuron SDK.
• Deploy and manage AI workloads using SageMaker and Kubernetes (EKS).
• Optimize AI performance through benchmarking, profiling, tuning, and migration from GPU-based environments.
• Collaborate on architecture and engineering practices for LLMs and scalable distributed training pipelines.

Skills

Cloud experience

AI infrastructure

Distributed training

LLMs knowledge

Python

PyTorch

Kubernetes

Tools

AWS Trainium

Inferentia

EC2 Trn instances

AWS Neuron SDK

SageMaker

Docker

EKS

Job description

Our client, a technology organization focused on advanced AI and cloud infrastructure is seeking an AWS AI Infrastructure Engineer to join their team. As an AWS AI Infrastructure Engineer, you will be part of the AI Infrastructure Engineering organization supporting large-scale AI/ML platform delivery and distributed model training. The ideal candidate will have hands-on AWS accelerator experience, strong distributed training and LLM understanding, and the ability to optimize and benchmark AI workloads for performance and scalability.

Job Title: AWS AI Infrastructure Engineer

Location: Remote (USA)

Pay Range: $45/hr - $50/hr

What's the Job?

• Design, build, and support scalable AI/ML infrastructure on AWS for distributed model training and inference.
• Implement and operate AWS AI accelerator workflows using AWS Trainium/Inferentia, EC2 Trn instances, and the AWS Neuron SDK.
• Deploy and manage AI workloads using SageMaker and Kubernetes (EKS), ensuring reliable, cloud-native operations.
• Optimize AI performance through benchmarking, profiling, and tuning, including migration from GPU-based environments to AWS AI accelerators.
• Collaborate on architecture and engineering practices for LLMs, generative AI systems, and scalable distributed training pipelines.

What's Needed?

• 5+ years of experience in Cloud, Data, or AI Infrastructure, with hands-on support of large-scale AI/ML training workloads in AWS environments.
• Strong experience with AWS Trainium, Inferentia, EC2 Trn instances, and AWS Neuron SDK for AI model training and inference.
• Solid understanding of LLMs, generative AI, distributed training concepts, and AI/ML infrastructure fundamentals.
• Hands-on experience with Kubernetes (EKS), Docker, Python, PyTorch, and cloud-native architectures.
• Exposure to Trainium or Inferentia is highly preferred, along with experience migrating or optimizing workloads for accelerator-based execution.
• Background check is mandatory.

What's in it for me?

• Work on mission-critical AI infrastructure that enables large-scale distributed training and inference.
• Build real-world expertise with AWS AI accelerators (Trainium/Inferentia) and the Neuron SDK.
• Contribute to performance optimization through benchmarking, tuning, and migration from GPU-based setups.
• Collaborate with teams focused on scalable, cloud-native AI platform engineering.
• Opportunity to support immediate-start initiatives with a confidential submission process.

Upon Completion Of Waiting Period Consultants Are Eligible For

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Estefania Ocheita
External Resource Manager (ERM) | SubCo Staffing Center
North America | Guatemala