Senior AI Infrastructure & GPU Compute Engineer

Accenture; Austin (TX); On-site; USD 140,000 - 260,000; Full time

Benefits offered by this job

Medical benefits

401(k) program

Paid holidays & time off

Job summary

Accenture is seeking a Senior AI Infrastructure Engineer to design, deploy, and operate high-performance GPU clusters across on‑prem, cloud, and hybrid environments. You will implement scalable, containerized infrastructure, develop automation workflows, and ensure governance, security, and reliability for AI training and inference workloads.

The role emphasizes hands-on work with Kubernetes, Slurm, and Run:AI, plus Terraform and Ansible for infrastructure automation, across a multi‑regional,

Qualifications

• 5+ years designing, deploying and managing accelerated-computing infrastructure across on‑prem, cloud and hybrid setups.
• Hands-on with GPUs, DPUs, CPUs and AI storage architectures (NVMe‑oF, parallel file systems).
• Experience with Kubernetes, Slurm, Run:AI and automation tools (Terraform, Ansible).
• Bachelor’s degree or equivalent work experience (minimum 12 years).

Responsibilities

• Design and implement accelerated-computing infrastructure solutions aligned to architecture and governance.
• Deploy and operate GPU clusters across bare-metal and containerized environments using Kubernetes.
• Develop reusable automation tools and runbooks for provisioning, monitoring and incident management.
• Provide guidance and optimization for AI training, inference, HPC workloads.

Skills

Accelerated‑computing infrastructure

Kubernetes

Slurm

Run:AI

Terraform

Ansible

Python

Bash scripting

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash

Job description

Accenture is seeking a Senior AI Infrastructure Engineer to design, deploy, and operate high-performance GPU clusters across on‑prem, cloud, and hybrid environments. You will implement scalable, containerized infrastructure, develop automation workflows, and ensure governance, security, and reliability for AI training and inference workloads.

The role emphasizes hands-on work with Kubernetes, Slurm, and Run:AI, plus Terraform and Ansible for infrastructure automation, across a multi‑regional,