AI Infrastructure Architect Lead for Large-Scale ML

3700 Accenture N.V. Company; Sint-Jans-Molenbeek; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture seeks a Lead and Principal Infrastructure Architect to own end-to-end design of optimized AI compute infrastructure for large-scale AI/ML systems, including distributed training environments. You translate business goals and SLAs into scalable, cost-efficient architectures across compute, networking, storage, orchestration, and model serving.

You will architect GPU clusters, evaluate architecture options, lead reviews, and define roadmaps aligned with client standards.

Qualifications

• Strong experience designing AI/ML infrastructure at scale.
• Experience with public cloud hyperscalers (AWS/Azure/GCP).
• Proficiency in Python/Java/C++ and automation tooling.

Responsibilities

• Own end-to-end architecture for optimized AI compute infra.
• Lead and mentor engineers and architects.
• Define and maintain AI infrastructure roadmap and cost controls.
• Ensure security, compliance and regulatory alignment across environments.

Skills

AI/ML infrastructure

Python

Java

C++

Distributed training

GPU clusters

Cloud platforms

Airflow

Kubeflow

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Apache Airflow

Kubeflow

GPU interconnects

Job description

Accenture seeks a Lead and Principal Infrastructure Architect to own end-to-end design of optimized AI compute infrastructure for large-scale AI/ML systems, including distributed training environments. You translate business goals and SLAs into scalable, cost-efficient architectures across compute, networking, storage, orchestration, and model serving.

You will architect GPU clusters, evaluate architecture options, lead reviews, and define roadmaps aligned with client standards.