AI Infrastructure Operations Engineer – GPU Compute

Accenture; Bentonville (AR); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture is seeking an experienced professional to join the Global AI Infrastructure team to design, deploy, and manage accelerated-computing infrastructure across on-prem, cloud, and hybrid environments. You will build and operate GPU clusters, automate provisioning, and optimize performance for AI training and inference at scale.

The role emphasizes governance, security, capacity planning, and reproducible platform operations, with travel 25-60% depending on client needs.

Qualifications

• Minimum of 5+ years of experience designing, deploying, and managing accelerated-computing infrastructure across on-premises, cloud, and hybrid environments.

Responsibilities

• Design and implement accelerated-computing infrastructure solutions aligned to system architecture, deployment roadmaps, performance, scalability, resiliency, and governance requirements.
• Deploy, configure, and operate GPU-based clusters across bare-metal and containerized environments, using workload schedulers and Kubernetes orchestration to support AI training, inference, and high-performance compute workloads.
• Integrate infrastructure platforms with enterprise systems, data platforms, security frameworks, service-management processes, and governance controls.
• Design, build, and maintain reusable tools, scripts, self-service capabilities, and automation workflows for infrastructure operations, including provisioning, configuration management, validation, capacity planning, monitoring, incident management, reporting, and recurring remediation.
• Establish repeatable operational processes for cluster provisioning, configuration management, patching, capacity planning, monitoring, incident response, and lifecycle management.
• Perform and automate GPU, compute, storage, and network benchmarking and validation; diagnose performance issues across multi-node AI training, inference, and distributed compute workloads.
• Develop and maintain architecture diagrams, configuration baselines, operational runbooks, and support documentation.
• Provide technical guidance, troubleshooting, and optimization for GPU clusters supporting AI training, inference, high-performance computing, and multi-node simulation workloads.

Skills

GPU clusters

Cluster management

Kubernetes

AI infrastructure

Python

Education

Bachelor's degree

Tools

Terraform

Ansible

Python

Bash

Job description

Accenture is seeking an experienced professional to join the Global AI Infrastructure team to design, deploy, and manage accelerated-computing infrastructure across on-prem, cloud, and hybrid environments. You will build and operate GPU clusters, automate provisioning, and optimize performance for AI training and inference at scale.

The role emphasizes governance, security, capacity planning, and reproducible platform operations, with travel 25-60% depending on client needs.