AI Infrastructure Ops Engineer: GPU Clusters, Hybrid Cloud

Accenture; Miami (FL); On-site; USD 87,000 - 266,000; Full time

Job summary

Accenture seeks an experienced engineer to design, deploy, and manage accelerated‑computing infrastructure for AI workloads across on‑premises, cloud, and hybrid environments. You will build and operate GPU clusters, develop automation tools, and drive scalable, resilient platform capabilities.

The role emphasizes governance, performance, energy efficiency, and cost management, with travel up to 60% depending on client needs. A strong foundation in DevOps and AI infra is required.

Qualifications

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

Responsibilities

• Design and implement accelerated computing infra aligned to architecture, roadmaps, performance and governance.
• Deploy and operate GPU clusters across bare‑metal and containerized environments (Kubernetes).
• Develop reusable tools, scripts, and automation for provisioning, config, monitoring, and remediation.
• Establish repeatable operational processes for clustering, patching, capacity planning, and incident response.
• Provide guidance and optimization for AI training, inference and HPC workloads.

Skills

Infra design & architecture

Kubernetes orchestration

Automation & tooling

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash

Job description

Accenture seeks an experienced engineer to design, deploy, and manage accelerated‑computing infrastructure for AI workloads across on‑premises, cloud, and hybrid environments. You will build and operate GPU clusters, develop automation tools, and drive scalable, resilient platform capabilities.

The role emphasizes governance, performance, energy efficiency, and cost management, with travel up to 60% depending on client needs. A strong foundation in DevOps and AI infra is required.