Lead AI Infrastructure Architect

Accenture PLC; Dublin; On-site; EUR 95,000 - 125,000; Full time

Job summary

Accenture is seeking an experienced hands‑on Infrastructure Architect to design and optimize AI and ML infrastructure that powers real‑world applications. You will architect compute resources across cloud and on‑prem environments, deploy AI systems, and lead deployment automation and MLOps practices.

You will mentor junior engineers, contribute to architectural decisions, and help establish best practices, while focusing on performance, cost, and regulatory compliance across InfraOps and MLOps

Qualifications

• Practical experience in coding, building, monitoring, troubleshooting applications of AI/ML models; selecting, designing and infrastructure for deploying and running them on premise or on public cloud.
• Strong understanding of AI and machine learning as a subject.
• Strong understanding of computing infrastructure a subject, preferred knowledge of AI infrastructure.
• Proficiency in programming languages such as Python, Java, or C++.

Responsibilities

• Write, review, and debug code, scripts, and infrastructure‑as‑code for AI infrastructure, automation, and tooling.
• Architect, configure, and provision compute resources across cloud and on‑premises environments, including GPU clusters and distributed training setups.
• Design and maintain deployment automation and CI/CD pipelines to support reliable, repeatable releases of AI systems, models, and applications.
• Deploy AI systems, models, and data pipelines into production, defining and improving the processes and best practices others follow.
• Lead container orchestration and model serving using tools such as Docker, Kubernetes, and model deployment frameworks.

Skills

Python

Java

C++

AI/ML infra

Education

Bachelor's Degree in Computer Science, Computer Engineering, related Engineering field

Tools

Apache Airflow

Kubeflow

Docker

Kubernetes

CI/CD pipelines

Job description

Accenture is seeking an experienced hands‑on Infrastructure Architect to design and optimize AI and ML infrastructure that powers real‑world applications. You will architect compute resources across cloud and on‑prem environments, deploy AI systems, and lead deployment automation and MLOps practices.

You will mentor junior engineers, contribute to architectural decisions, and help establish best practices, while focusing on performance, cost, and regulatory compliance across InfraOps and MLOps