AI Infrastructure & GPU Compute Engineer

Accenture PLC; Milwaukee (WI); On-site; USD 94,000 - 266,000; Full time

Job summary

Accenture seeks an experienced AI Infrastructure Engineer to design and operate accelerated-computing infrastructures that span on-prem, cloud, and hybrid environments. You will deploy GPU clusters, configure orchestration with Kubernetes, and integrate governance and security across platforms.

The role requires hands-on skills with GPUs, DPUs, CPUs, and AI storage, plus Terraform/Ansible and Python scripting to automate operations. Travel may be required up to 60% per business needs.

Qualifications

• Minimum of 5+ years of experience designing, deploying, and managing accelerated-computing infrastructure across on-premises, cloud, and hybrid environments.
• Minimum of 5+ years of hands-on experience with accelerated-computing platforms, including GPUs, DPUs, and CPUs, high-bandwidth network fabrics, and AI storage architectures.
• Minimum of 5+ years of experience with cluster management, workload scheduling, orchestration, observability, and automation, including Kubernetes, Slurm, Run:ai.
• Minimum 6 months hands-on experience with Claude Code, AI automation tools, Terraform, Ansible, Python, and Bash.

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 schedulers and Kubernetes to support AI workloads.
• Integrate infrastructure platforms with enterprise systems, data platforms, security frameworks, and governance controls.
• Develop reusable tools and automation for provisioning, configuration, validation, monitoring, and incident response.
• Establish repeatable operational processes for cluster provisioning, configuration management, and lifecycle management.
• Benchmark and diagnose performance issues across multi-node AI training, inference, and distributed compute workloads.

Skills

Accelerated-computing infra

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash scripting

Education

Bachelor\'s degree or equivalent

Tools

NVIDIA tools

Base Command Manager (BCM)

Job description

Accenture seeks an experienced AI Infrastructure Engineer to design and operate accelerated-computing infrastructures that span on-prem, cloud, and hybrid environments. You will deploy GPU clusters, configure orchestration with Kubernetes, and integrate governance and security across platforms.

The role requires hands-on skills with GPUs, DPUs, CPUs, and AI storage, plus Terraform/Ansible and Python scripting to automate operations. Travel may be required up to 60% per business needs.