AI Infra Ops Engineer: GPU Clusters & Automation

Accenture

Saint Petersburg (FL)

On-site

USD 120,000 - 260,000

Full time

14 days+

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Job summary

Accenture is seeking a seasoned professional to lead accelerated-computing infrastructure initiatives in Florida. You will design, deploy, and optimize GPU clusters across on‑prem, cloud, and hybrid environments to support AI training and inference at scale.

The role requires deep experience with Kubernetes, automation tooling, and secure, scalable platform operations, with travel as needed.

Qualifications

5+ years designing, deploying, and managing accelerated-computing infra across on‑prem, cloud and hybrid environments.
5+ years hands-on with GPUs/DPUs/CPUs, AI storage, and high‑bandwidth networks.
5+ years with cluster management and automation tools like Kubernetes, Slurm, Run:ai.
6 months hands-on with Claude Code, Terraform, Ansible, Python and Bash scripting.
Bachelor’s degree or equivalent work experience.

Responsibilities

Design and implement accelerated-computing infra aligned to architecture, roadmaps, and governance.
Deploy and operate GPU clusters across bare‑metal and containerized environments using orchestration.
Integrate platforms with enterprise systems, data platforms, security and governance controls.
Build reusable tools and automation for provisioning, config, validation, monitoring and remediation.
Establish repeatable processes for provisioning, patching, capacity planning and incident response.
Benchmark and validate GPU, compute, storage and network performance for AI workloads.
Develop architecture diagrams, runbooks and support documentation.
Provide guidance and optimization for GPU clusters with emphasis on availability and cost.