Senior AI Infra Engineer - GPU Clusters & HPC

Accenture; Overland Park (KS); On-site; USD 120,000 - 230,000; Full time

Job summary

Accenture is seeking an experienced principal engineer to design and operate accelerated‑computing infrastructure for AI training, inference, and HPC workloads across on‑premises, cloud, and hybrid environments. You will deploy GPU clusters, orchestrate with Kubernetes and Run:AI, and automate provisioning, monitoring, and governance processes.

Join a team building scalable, secure infrastructure with emphasis on performance, energy efficiency, and cost management, while collaborating across the

Qualifications

• Minimum of 5+ years designing, deploying, and managing accelerated‑computing infra across on‑prem, cloud, and hybrid environments.
• Hands‑on with GPUs, DPUs, CPUs, high‑bandwidth fabrics, and AI storage like parallel file systems.
• 5+ years in cluster management, scheduling, orchestration, observability, and automation (Kubernetes, Slurm, Run:ai).
• 6+ months hands‑on with Claude Code, AI automation tools, Terraform, Ansible, Python and Bash.
• Bachelor's degree or equivalent work experience (min 12 years).

Responsibilities

• Design and implement accelerated‑computing infra aligned to system architecture, roadmaps, performance, and governance.
• Deploy and operate GPU clusters across bare‑metal and containerized environments with schedulers.
• Integrate infra platforms with enterprise systems, data platforms, security frameworks, and governance.
• Develop reusable tools, scripts, and automation for provisioning, config, validation, and capacity planning.
• Establish repeatable processes for cluster provisioning, patching, monitoring, and lifecycle management.
• Benchmark and validate GPU, compute, storage, and network performance for AI workloads.
• Create architecture diagrams, runbooks, and support documentation.
• Provide guidance and optimization for GPU clusters with emphasis on availability, resiliency, energy efficiency, and cost.

Skills

Accelerated computing infra design

GPU cluster management

Kubernetes orchestration

Python scripting

Bash scripting

Observability & automation

Education

Bachelor's degree or equivalent work experience

Tools

Kubernetes

Slurm

Run:AI

Terraform

Ansible

Job description

Accenture is seeking an experienced principal engineer to design and operate accelerated‑computing infrastructure for AI training, inference, and HPC workloads across on‑premises, cloud, and hybrid environments. You will deploy GPU clusters, orchestrate with Kubernetes and Run:AI, and automate provisioning, monitoring, and governance processes.

Join a team building scalable, secure infrastructure with emphasis on performance, energy efficiency, and cost management, while collaborating across the