Senior AI Infrastructure & HPC Architect

Accenture PLC; City of Albany (NY); On-site; USD 87,000 - 266,000; Full time

Job summary

Accenture is seeking an experienced AI infrastructure engineer to design and deploy GPU-accelerated clusters and scalable AI platforms. You will work across on-prem, cloud, and hybrid environments, integrating with security and governance while guiding operations for large-scale training and inference.

Responsibilities include deploying XPU-based clusters, integrating with enterprise data pipelines, and shaping architecture with tools like Kubernetes, Slurm, Run:ai, and NVIDIA software to

Qualifications

• 5+ years designing, deploying AI infrastructure across on-prem, cloud and hybrid environments.
• Experience with GPUs/DPUs/LPUs and high-speed interconnects in data centers.
• Hands-on with Kubernetes, Slurm, Run:ai, Terraform and Ansible tools.

Responsibilities

• Design and implement AI infra and accelerated computing solutions across environments.
• Deploy and manage XPU-based clusters with container platforms and schedulers.
• Integrate AI platforms with IT systems, security, and governance controls.
• Develop and maintain architecture docs and runbooks.
• Provide guidance across AI workloads including large-scale training and inference.

Skills

AI infrastructure

GPU clusters

Kubernetes

Slurm

Run:ai

Python

TensorRT-LLM

NVIDIA tools

InfiniBand/Ethernet

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

VMware

Nutanix

Terraform

Ansible

Job description

Accenture is seeking an experienced AI infrastructure engineer to design and deploy GPU-accelerated clusters and scalable AI platforms. You will work across on-prem, cloud, and hybrid environments, integrating with security and governance while guiding operations for large-scale training and inference.

Responsibilities include deploying XPU-based clusters, integrating with enterprise data pipelines, and shaping architecture with tools like Kubernetes, Slurm, Run:ai, and NVIDIA software to