Artificial Intelligence Engineer

Penta Consulting; Dublin; On-site; EUR 90,000 - 130,000; Full time

Job summary

Penta Consulting is seeking an experienced HPC/AI Operations Specialist to provide onsite operational support and post-deployment stabilisation for a large-scale compute environment in Ireland.

You will join as a resident specialist, ensuring operational readiness, stability and performance while transitioning the platform to a sustainable steady-state operating model, with responsibilities spanning monitoring, maintenance, incident response and knowledge transfer to the customer operations team.

Qualifications

• Extensive experience administering large-scale HPC environments.
• Experience with cluster management technologies.
• Hands-on experience with Slurm workload scheduler.
• Experience with container orchestration platforms such as Kubernetes.
• Knowledge of GPU infrastructure and AI/ML compute environments.
• Experience with enterprise storage and networking within HPC.
• Strong troubleshooting and operational support capabilities.
• Experience with incident, problem and change management frameworks.
• Excellent documentation and knowledge transfer skills.
• Experience supporting research or AI-focused computing environments.

Responsibilities

• Provide Day 2 operational support for the HPC and AI platform.
• Monitor platform health, performance, availability and capacity.
• Support planned maintenance activities, upgrades and change management processes.
• Respond to, troubleshoot, and resolve incidents and operational issues.
• Conduct root cause analysis and contribute to problem management.
• Manage day-to-day cluster, compute, storage, and infrastructure operations.
• Support workload scheduling and orchestration platforms including Slurm and Kubernetes.
• Maintain operational documentation, procedures and runbooks.
• Deliver knowledge transfer and operational readiness activities to the customer operations team.
• Support the transition of the platform into a sustainable operational model.

Skills

HPC environments

Linux administration

Workload scheduling

Slurm

Kubernetes

GPU infrastructure

Enterprise storage & networking

Incident/problem/change mgmt

Documentation & knowledge transfer

Scripting (Bash, Python, Ansible)

Tools

Slurm

Kubernetes

Job description

Penta Consulting are a technology service provider and leading outsourced partner helping to deliver professional and managed solutions across EMEA.

We are seeking an experienced HPC / AI Operations Specialist to provide onsite operational support and post-deployment stabilisation for a leading-edge HPC and AI platform. Working as a resident specialist, you will play a critical role in ensuring the operational readiness, stability, and performance of a large-scale compute environment while supporting the transition into a sustainable steady-state operating model.

This role is ideal for a professional with deep expertise in HPC operations, Linux administration, workload scheduling, GPU-based infrastructure, and enterprise-scale cluster environments.

Key Responsibilities

• Provide Day 2 operational support for the HPC and AI platform.
• Monitor platform health, performance, availability, and capacity.
• Support planned maintenance activities, upgrades, and change management processes.
• Respond to, troubleshoot, and resolve incidents and operational issues.
• Conduct root cause analysis and contribute to problem management activities.
• Manage day-to-day cluster, compute, storage, and infrastructure operations.
• Support workload scheduling and orchestration platforms including Slurm and Kubernetes.
• Maintain operational documentation, procedures, and runbooks.
• Deliver knowledge transfer and operational readiness activities to the customer operations team.
• Support the transition of the platform into a sustainable operational model.

Required Skills & Experience

• Extensive experience administering large-scale HPC environments.
• Proven experience with cluster management technologies.
• Hands‑on experience with workload schedulers such as Slurm.
• Experience supporting container orchestration platforms such as Kubernetes.
• Knowledge of GPU infrastructure and AI/ML compute environments.
• Experience supporting enterprise storage and networking within HPC platforms.
• Strong troubleshooting and operational support capabilities.
• Experience working within structured incident, problem, and change management frameworks.
• Excellent documentation and knowledge transfer skills.
• Experience supporting research, scientific, or AI‑focused computing environments.
• Familiarity with infrastructure monitoring and observability tools.
• Experience with automation and scripting (Bash, Python, Ansible).
• Exposure to data centre operations and environmental considerations.