Principal AI Solutions Engineer

W Hunt España

Portugal

Remote

EUR 90,000 - 120,000

Full time

3 days ago
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Job summary

W Hunt España is expanding its AI infrastructure teams to support a major AI transformation program in banking. We seek a Principal AI Infrastructure Engineer to design, deploy, and maintain the infrastructure for AI training, fine-tuning, and inference workloads.

You will collaborate across AI/ML, networking, security, and operations to build scalable, secure, and highly available environments, focusing on Kubernetes platforms, GPU-enabled systems, and automation with Python, Terraform, and

Qualifications

  • 8+ years with Kubernetes and container orchestration in business-critical environments.
  • Strong Linux experience (RHEL, RHCOS, SUSE, or Ubuntu).
  • Hands-on Kubernetes platforms such as OpenShift, RKE2, or Charmed Kubernetes.
  • Knowledge of data center infrastructure, networking, storage, virtualization, and bare metal.
  • Experience with GPU infrastructure including vGPU and MIG.
  • Strong skills in Python, Ansible, and Terraform.
  • Knowledge of GenAI, LLMs, and AI training/inference workloads.
  • Experience with monitoring, distributed systems, high availability, and infrastructure security.
  • High level of English

Responsibilities

  • Design, deploy, and maintain AI infrastructure supporting training, fine-tuning, and inference workloads.
  • Deploy and administer Kubernetes platforms in virtualized and bare-metal environments.
  • Implement infrastructure automation using Python, Terraform, and Ansible.
  • Support and optimize GPU-enabled environments for AI and Generative AI workloads.
  • Collaborate with AI/ML, networking, security, and operations teams to deliver scalable and secure AI platforms.
  • Troubleshoot, optimize, and improve platform performance, reliability, and high availability.

Skills

Kubernetes
Linux
GPU infrastructure
Python
Ansible
Terraform
OpenShift
RKE2
Charmed Kubernetes
Monitoring & HA
Security
English

Tools

OpenShift
RKE2
Charmed Kubernetes
VMware ESXi

Job description

We are expanding several Artificial Intelligence and infrastructure teams for one of the most ambitious AI transformation and automation programs within the banking sector.

Job Description:

We are looking for an experienced Principal AI Infrastructure Engineer to design, deploy, and maintain the infrastructure supporting AI training, fine-tuning, and inference workloads.

You will work across infrastructure, AI/ML, networking, cybersecurity, and operations teams, helping build scalable, secure, and highly available environments for next-generation AI workloads.

Key Responsibilities:
  • Design, deploy, and maintain AI infrastructure supporting training, fine-tuning, and inference workloads.
  • Deploy and administer Kubernetes platforms in virtualized and bare-metal environments.
  • Implement infrastructure automation using Python, Terraform, and Ansible.
  • Support and optimize GPU-enabled environments for AI and Generative AI workloads.
  • Collaborate with AI/ML, networking, security, and operations teams to deliver scalable and secure AI platforms.
  • Troubleshoot, optimize, and improve platform performance, reliability, and high availability
Profile (M/F/D)
  • 8+ years of experience with Kubernetes and container orchestration in business-critical environments.
  • Strong Linux experience, particularly RHEL, RHCOS, SUSE, or Ubuntu.
  • Hands-on experience with Kubernetes platforms such as OpenShift, RKE2, or Charmed Kubernetes.
  • Strong knowledge of data center infrastructure, networking, storage, virtualization, and bare metal.
  • Experience with GPU infrastructure, including vGPU, passthrough, MIG, and GPU orchestration.
  • Strong skills in Python, Ansible, and Terraform.
  • Knowledge of GenAI, LLMs, RAG, AI training, and inference workloads.
  • Experience with monitoring, distributed systems, high availability, and infrastructure security.
  • High level of English
Nice to Have
  • Experience with VMware ESXi, vSAN, VMFS, or NFS.
  • Experience with Machine Learning / Deep Learning platforms and MLOps.
  • Previous experience in banking or other regulated environments.
Conditions
  • 100% Remote
  • Highly collaborative and international environment
  • Challenging projects involving AI, GenAI, Kubernetes, and GPU infrastructure
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