Senior AI Infrastructure & HPC Architect

Accenture; Saint Petersburg (FL); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Accenture seeks an expert in AI infrastructure to design, deploy, and optimize high-performance computing platforms for AI workloads. You will build and operate GPU-based clusters across on-prem and cloud, integrate with data pipelines, and implement scalable, secure workflows leveraging Kubernetes, Slurm, and Run:AI.

The role requires strong Python automation, CUDA tooling, and experience with ML frameworks.

Qualifications

• Minimum 5+ years designing, deploying, and managing AI infrastructure across on-prem, cloud, and hybrid environments.
• Hands-on with GPUs/DPUs/LPUs, high-speed interconnects, and AI storage architectures.
• Experience with Kubernetes, Slurm, Run:ai, and automation tools.
• Bachelor-level education or equivalent work experience is required.

Responsibilities

• Design and implement AI infrastructure and accelerated computing solutions.
• Deploy and manage XPU-based clusters across bare-metal and containerized environments.
• Integrate AI platforms with IT systems, data pipelines, and governance controls.
• Develop agentic AI infrastructure with secure, deterministic APIs and observability.

Skills

AI infrastructure design

Hybrid cloud environments

Cluster management

Education

Bachelor's degree or equivalent

Tools

Kubernetes

Slurm

Run:ai

NVIDIA CUDA

TensorRT-LLM

Python

Terraform

Ansible

MLPerf

Job description

Accenture seeks an expert in AI infrastructure to design, deploy, and optimize high-performance computing platforms for AI workloads. You will build and operate GPU-based clusters across on-prem and cloud, integrate with data pipelines, and implement scalable, secure workflows leveraging Kubernetes, Slurm, and Run:AI.

The role requires strong Python automation, CUDA tooling, and experience with ML frameworks.