AI Infrastructure Engineer — GPU & Cluster Lead

Accenture; Atlanta (GA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Long-term Disability

401(k) Plan

Bonus Opportunities

Paid Holidays

Paid Time Off

Job summary

Accenture is seeking an experienced AI Infrastructure Architect to design, deploy, and optimize scalable AI infrastructure across on-premises, cloud, and hybrid environments. You will work with GPUs/DPUs/LPUs, high-speed interconnects, and cluster management tools to enable enterprise AI workloads and agentic AI solutions.

The role requires strong Kubernetes, Slurm, Run:ai, and cloud platform experience, plus collaboration with security and governance teams. Travel may be required.

Qualifications

• Minimum of 5+ years of experience designing, deploying, and managing AI infrastructure and accelerated computing environments across on-premises, cloud, and hybrid environments.
• Minimum of 5+ years of hands-on experience with accelerated computing platforms (GPUs/DPUs/LPUs/CPUs) and data center networking.
• Minimum of 5+ years of experience with cluster management, workload scheduling, orchestration, observability, and infrastructure automation (Kubernetes, Slurm, Run:ai, AWS/Azure/GCP).
• Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate's Degree, must have minimum 6 years work experience.

Responsibilities

• Design and implement AI infrastructure and accelerated computing solutions with scalable, governed architecture.
• Deploy, configure, and manage XPU-based clusters across bare-metal and containerized environments.
• Integrate AI platforms with existing IT systems, data pipelines, and enterprise governance controls.
• Design agentic AI infrastructure with secure, deterministic APIs and workflow orchestration.
• Build MCP servers, tools, connectors, and adapters for high availability and low-latency networking.
• Work with NVIDIA tools (BCM, NGC, NCCL, CUDA) and ML tools (TensorRT-LLM, Triton, vLLM).
• Develop and maintain architecture docs, baselines, and runbooks.
• Provide guidance across AI workloads including training, inference, and simulations.

Skills

AI infrastructure design

GPU clusters

Cloud & on-prem

Kubernetes

Python scripting

DevOps practices

Networking

System orchestration

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

AWS

Azure

GCP

VMware

Nutanix

Python

Terraform

Ansible

Job description

Accenture is seeking an experienced AI Infrastructure Architect to design, deploy, and optimize scalable AI infrastructure across on-premises, cloud, and hybrid environments. You will work with GPUs/DPUs/LPUs, high-speed interconnects, and cluster management tools to enable enterprise AI workloads and agentic AI solutions.

The role requires strong Kubernetes, Slurm, Run:ai, and cloud platform experience, plus collaboration with security and governance teams. Travel may be required.