AI Infrastructure & HPC Engineer: GPU Cluster Expert

Accenture PLC; Missouri; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Accenture is hiring for a senior AI infrastructure architect to design, deploy, and operate advanced AI infrastructure across on-prem, cloud, and hybrid environments. You will lead GPU/DPU/LPU clusters, integrate with existing data pipelines, and implement agentic AI platforms with governance and observability.

Travel up to 100% may be required. The role emphasizes collaboration with cross-functional teams, implementation of scalable AI solutions, and alignment with security and performance

Qualifications

• Minimum of 5+ years of experience designing, deploying, and managing AI infrastructure and accelerated computing environments across on-premises, cloud, and hybrid environments.
• 5+ years hands-on with GPUs, DPUs, LPUs, CPUs and data center networking including InfiniBand or Ethernet.

Responsibilities

• Design and implement AI infrastructure and accelerated computing solutions with architecture roadmaps and governance in mind.
• Deploy, configure, and manage XPU-based clusters across bare-metal and containerized environments using Kubernetes, Slurm, and Run:ai.
• Integrate AI infrastructure platforms with existing IT systems, data pipelines, and security frameworks.
• Develop agentic AI infrastructure with secure, deterministic APIs, and observability to support enterprise use cases.
• Build MCP servers, tools, connectors, and adapters to monitor, troubleshoot, and tune infrastructure for high availability.

Skills

AI infrastructure design

Kubernetes

Slurm

Run:ai

NVIDIA tools

Python

Education

Bachelor's degree or equivalent (minimum 12 years)

Tools

BCM

NGC

NCCL

NVLink

CUDA

TensorRT-LLM

Triton Inference Server

Job description

Accenture is hiring for a senior AI infrastructure architect to design, deploy, and operate advanced AI infrastructure across on-prem, cloud, and hybrid environments. You will lead GPU/DPU/LPU clusters, integrate with existing data pipelines, and implement agentic AI platforms with governance and observability.

Travel up to 100% may be required. The role emphasizes collaboration with cross-functional teams, implementation of scalable AI solutions, and alignment with security and performance