Senior AI Infra & HPC Engineer

Accenture PLC; Redmond; Hybrid; AUD 134,000 - 379,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with company match

Bonus opportunities

Paid holidays and PTO

Job summary

Accenture PLC is seeking a leader in AI infrastructure to design, deploy, and optimize large-scale AI and accelerated computing environments. You will build GPU clusters, integrate with data pipelines, and implement secure governance across on-premises, cloud, and hybrid stacks.

You will work with NVIDIA tools, Kubernetes-based orchestration, and state-of-the-art ML workloads, supporting enterprise clients with scalable, observable infrastructure. Occasional travel is expected.

Qualifications

• Minimum of 5+ years designing deploying and managing AI infrastructure across hybrid environments.
• Hands-on with GPUs/DPUs/LPUs, high-speed networking and AI storage architectures.
• Experience with Kubernetes, Slurm, Run:ai and cloud platforms (AWS/Azure/GCP).
• Bachelor's degree or equivalent work experience.

Responsibilities

• Design and implement AI infrastructure and accelerated computing solutions across hybrid environments.
• Deploy and manage XPU-based clusters, including GPUaaS and model serving frameworks.
• Integrate AI platforms with data pipelines, security, and governance controls.
• Develop agentic AI infrastructure with deterministic APIs and observability.
• Architect and deploy with NVIDIA tools (BCM, NGC, NCCL, CUDA) and inference engines.
• Create documentation and runbooks; provide guidance and optimization across workloads.

Skills

AI infrastructure design

GPU clusters

Kubernetes

Slurm

Run:AI

Python

Terraform

Ansible

NVIDIA tools

TensorRT-LLM

CUDA

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Kubernetes

Slurm

Run:ai

AWS

Azure

GCP

Terraform

Ansible

Job description

Accenture PLC is seeking a leader in AI infrastructure to design, deploy, and optimize large-scale AI and accelerated computing environments. You will build GPU clusters, integrate with data pipelines, and implement secure governance across on-premises, cloud, and hybrid stacks.

You will work with NVIDIA tools, Kubernetes-based orchestration, and state-of-the-art ML workloads, supporting enterprise clients with scalable, observable infrastructure. Occasional travel is expected.