Senior AI Infra & GPU Cluster Engineer

Accenture; Miami (FL); On-site; USD 100,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Bonus opportunities

Paid holidays

401(k) plan

Job summary

Accenture is seeking an expert to design, deploy, and operate accelerated-computing infrastructure across on-prem, cloud, and hybrid environments. You will manage GPU-based clusters, integrate platforms with security and governance, and build automation to improve provisioning, monitoring, and remediation.

Role involves travel and requires 5+ years in AI infrastructure domains. This role offers exposure to large-scale AI workloads, multi-node simulations, and energy/cost optimization within a

Qualifications

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

Responsibilities

• Design and implement accelerated-computing infrastructure solutions aligned to architecture, roadmaps, performance, scalability, and governance.
• Deploy, configure, and operate GPU-based clusters across bare-metal and containerized environments using schedulers and Kubernetes.
• Integrate infrastructure platforms with enterprise systems, data platforms, security, service-management and governance controls.
• Build reusable tools, scripts, and automation workflows for provisioning, config management, validation, capacity planning, monitoring, and remediation.
• Establish repeatable operational processes for cluster provisioning, configuration management, patching, capacity planning, monitoring, and incident response.
• Benchmark and validate GPU/compute/storage/network performance across multi-node AI workloads; diagnose issues.
• Develop architecture diagrams, runbooks, and support documentation.
• Provide guidance and optimization for GPU clusters for AI training, inference, HPC, reliability, and cost management.

Skills

Accelerated-computing infra

GPU/DPU/CPU expertise

Cluster management

High‑bandwidth networks

AI storage architectures

Automation tooling

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

Terraform

Ansible

Python

Bash

Job description

Accenture is seeking an expert to design, deploy, and operate accelerated-computing infrastructure across on-prem, cloud, and hybrid environments. You will manage GPU-based clusters, integrate platforms with security and governance, and build automation to improve provisioning, monitoring, and remediation.

Role involves travel and requires 5+ years in AI infrastructure domains. This role offers exposure to large-scale AI workloads, multi-node simulations, and energy/cost optimization within a