GPU-Accelerated AI & HPC Infra Architect

Accenture; St. Louis (MO); On-site; USD 140,000 - 190,000; Full time

Job summary

Accenture is seeking a senior AI Infrastructure Engineer 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 AI storage systems, coordinating with cross-functional teams to deliver reliable, secure platforms.

You will lead cluster management, orchestration (Kubernetes, Slurm, Run:ai), and automation while ensuring observability and governance across large-scale training and

Qualifications

• Minimum of 5+ years of experience designing, deploying, and managing AI infrastructure across on-premises, cloud, and hybrid environments.
• 5+ years hands-on with accelerated computing platforms (GPUs/DPUs/LPUs), high-speed interconnects, and AI storage architectures.
• 5+ years experience with cluster management, scheduling, orchestration, observability, and automation using Kubernetes, Slurm, Run:ai, AWS, Azure.

Responsibilities

• Design and implement AI infrastructure and accelerated computing solutions with scalable architectures.
• Deploy and manage XPU-based clusters across bare-metal and containerized environments.
• Integrate AI infrastructure with IT systems, data pipelines, security, and governance.
• Provide technical guidance and optimization across AI workloads, including large-scale training and inference.
• Develop documentation and runbooks for operations.
• Travel 25% to 100% depending on client needs.

Skills

AI infrastructure design

Hybrid cloud experience

Cluster management

Workload scheduling

Kubernetes

Slurm

Run:ai

Observability

Infrastructure automation

High-performance computing

Tools

AWS

Azure

InfiniBand

CUDA toolkit

NCCL

MLPerf

Job description

Accenture is seeking a senior AI Infrastructure Engineer 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 AI storage systems, coordinating with cross-functional teams to deliver reliable, secure platforms.

You will lead cluster management, orchestration (Kubernetes, Slurm, Run:ai), and automation while ensuring observability and governance across large-scale training and