AI Infra Architect | GPU Clusters, MLOps, CI/CD

Accenture UK & Ireland; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture UK & Ireland is seeking a hands-on Infrastructure Architect to design and optimize AI/ML infrastructure powering production systems. You will architect compute resources, write IaC, and lead deployment automation across cloud and on‑premise environments, including GPU clusters and distributed training setups.

The role emphasizes mentoring, standards setting, and collaboration across InfraOps and MLOps, applying security, cost-efficiency, and scalability best practices.

Qualifications

• Proven coding, building, monitoring, and troubleshooting AI/ML applications.
• Strong understanding of AI/ML and computing infrastructure.
• Experience deploying AI workloads on public cloud and on-premise.
• Proficiency in Python/Java/C++ for infrastructure tooling.
• Experience with data pipelines and workflow tools (Airflow, Kubeflow).
• Excellent communication and collaboration skills.

Responsibilities

• Write, review, and debug code, scripts, and IaC for AI infra and tooling.
• Provision compute resources across cloud/on-prem environments, incl. GPU clusters.
• Design and maintain CI/CD pipelines for AI deployments.
• Deploy AI systems and data pipelines into production.
• Lead container orchestration and model serving (Docker, Kubernetes).
• Own AI monitoring and infrastructure health across InfraOps and MLOps.

Skills

Python

Java

C++

AI infra concepts

Education

Bachelor's Degree in CS/Engineering

Tools

Docker

Kubernetes

Airflow

Kubeflow

Job description

Accenture UK & Ireland is seeking a hands-on Infrastructure Architect to design and optimize AI/ML infrastructure powering production systems. You will architect compute resources, write IaC, and lead deployment automation across cloud and on‑premise environments, including GPU clusters and distributed training setups.

The role emphasizes mentoring, standards setting, and collaboration across InfraOps and MLOps, applying security, cost-efficiency, and scalability best practices.