AI Infrastructure & GPU Operations Engineer

Accenture PLC

Columbus (OH)

On-site

USD 87,000 - 266,000

Full time

14 days+

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Job summary

Accenture is seeking an experienced Global AI Infrastructure professional in the United States to design, deploy, and optimize accelerated-computing infrastructures. You will manage GPU clusters across on‑premises, cloud, and hybrid environments, with emphasis on performance, reliability, and security.

You will guide automation across the stack, build reusable tools, and work with Kubernetes, Slurm, and Run:AI to enable scalable AI training and inference at enterprise scale.

Qualifications

  • Minimum 5+ years designing, deploying, and managing accelerated-computing infra across on-prem/ cloud/hybrid.
  • Hands-on experience with GPUs/DPUs/CPUs, high‑bandwidth networks, and AI storage architectures.
  • 5+ years cluster management, scheduling, orchestration, observability, and automation (Kubernetes, Slurm, Run:AI).
  • 6+ months hands-on with Claude Code, Terraform, Ansible, Python, and Bash scripting.
  • Bachelor's degree or equivalent (12 years) or 6+ years if Associate degree.

Responsibilities

  • Design and implement accelerated-computing infrastructure aligned to architecture, roadmaps, and governance.
  • Deploy and operate GPU clusters across bare-metal and containerized environments with Kubernetes.
  • Integrate platforms with security, data, and service-management processes.
  • Build reusable tools and automation for provisioning, configuration, validation, and monitoring.
  • Establish repeatable processes for provisioning, patching, capacity planning, and lifecycle management.
  • Automate benchmarking and diagnose performance across multi-node AI workloads.
  • Maintain architecture diagrams, runbooks, and support documentation.
  • Provide guidance and optimization for GPU clusters with emphasis on availability and cost management.

Skills

Accelerated-computing infrastructure
GPUs
DPUs
CPUs
Kubernetes
Slurm
Run:AI
Python
Bash scripting
Terraform
Ansible
NVIDIA tooling

Education

Bachelor's degree or equivalent

Tools

Claude Code
Terraform
Ansible
Python
Bash scripting
NVIDIA BCM/NGC/NCCL/CUDA-X

Job description

Accenture is seeking an experienced Global AI Infrastructure professional in the United States to design, deploy, and optimize accelerated-computing infrastructures. You will manage GPU clusters across on‑premises, cloud, and hybrid environments, with emphasis on performance, reliability, and security.

You will guide automation across the stack, build reusable tools, and work with Kubernetes, Slurm, and Run:AI to enable scalable AI training and inference at enterprise scale.

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