Senior AI Infra Engineer - GPU Clusters & Ops

Accenture PLC; Houston (TX); On-site; USD 120,000 - 210,000; Full time

Job summary

Accenture is seeking an experienced Global AI Infrastructure specialist to design, deploy, and manage accelerated-computing environments for AI training and inference across on-prem, cloud, and hybrid deployments.

You will implement GPU clusters, automate operations, and ensure governance and security while collaborating with enterprise teams and clients on scalable infrastructure solutions.

Qualifications

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

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 for AI 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, validation, capacity planning, monitoring, incident management, reporting, and 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 and inference workloads.
• Develop and maintain architecture diagrams, configuration baselines, operational runbooks, and support documentation.
• Provide technical guidance, troubleshooting, and optimization for GPU clusters with emphasis on availability, resiliency, scalability, energy efficiency, and cost management.

Skills

GPU infrastructure

Cluster management

Automation tooling

Python scripting

Networking

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash

Job description

Accenture is seeking an experienced Global AI Infrastructure specialist to design, deploy, and manage accelerated-computing environments for AI training and inference across on-prem, cloud, and hybrid deployments.

You will implement GPU clusters, automate operations, and ensure governance and security while collaborating with enterprise teams and clients on scalable infrastructure solutions.