AI Infrastructure Engineer: GPU Clusters & Automation

Socket.dev; Missouri; On-site; USD 87,000 - 266,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Paid holidays & time off

Job summary

Accenture’s Global AI Infrastructure team builds resilient, high‑performance compute environments for strategic clients across cloud, on‑premises and hybrid deployments. We design, build, and operate large‑scale GPU and accelerated‑computing infrastructure to support AI training, inference, and HPC workloads with scalable automation.

We partner across technology ecosystems to deliver dependable services, reusable tooling, and governance across the infrastructure stack.

Qualifications

• Minimum 5+ years designing, deploying, and managing accelerated-computing infra across on-prem, cloud, and hybrid environments.
• 5+ years hands‑on with GPUs, DPUs, CPUs; high‑bw networks and AI storage architectures.
• 5+ years experience with cluster management, workload scheduling, orchestration, observability, and automation.
• 6 months hands‑on with Claude Code, AI tools, Terraform, Ansible, Python, and Bash.
• Bachelor’s degree or equivalent (12 years) work experience.

Responsibilities

• Design accelerated‑computing infrastructure solutions aligned to architecture and governance requirements.
• Deploy and operate GPU clusters across bare‑metal and containerized environments using Kubernetes and schedulers.
• Integrate infrastructure platforms with enterprise systems, data platforms, security, and governance controls.
• Build reusable tools, scripts, and automation workflows for provisioning, config management, validation, and monitoring.
• Establish repeatable operational processes for cluster provisioning, patching, and capacity planning.
• Benchmark and diagnose performance across multi-node AI training and inference workloads.
• Develop architecture diagrams, runbooks, and support documentation.
• Provide technical guidance for GPU clusters with emphasis on availability, resiliency, scalability, energy efficiency.

Skills

Cloud architecture

Automation

Cluster management

SRE practices

Python scripting

Education

Bachelor's degree or equivalent

Associate’s degree option (6+ years experience)

Tools

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash

Claude Code

Job description

Accenture’s Global AI Infrastructure team builds resilient, high‑performance compute environments for strategic clients across cloud, on‑premises and hybrid deployments. We design, build, and operate large‑scale GPU and accelerated‑computing infrastructure to support AI training, inference, and HPC workloads with scalable automation.

We partner across technology ecosystems to deliver dependable services, reusable tooling, and governance across the infrastructure stack.