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Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle

Principal Cloud Architect – HPC/GPU & AI Platform Solutions

full-timePosted: Aug 5, 2026Updated: Aug 27, 2026Deadline: Feb 1, 2027Ireland

Job Description

As a Principal Cloud Architect, you will design and deliver next-generation High Performance Computing (HPC), GPU, and AI solutions on Oracle Cloud Infrastructure (OCI). You will work with customers ranging from AI startups to large enterprises across the UK and EMEA, helping them architect, deploy, and optimise complex HPC clusters, AI platforms, and intelligent AI solutions in both proof-of-concept and production environments.This is a highly visible customer-facing role that combines deep technical expertise with strategic consulting. You will partner with customers throughout their cloud and AI transformation journey while collaborating closely with Oracle Product Management, Engineering, and Sales teams. Key ResponsibilitiesDesign and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI). Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes. Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management. Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements. Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production. Serve as a trusted technical advisor on cloud architecture, migration strategies, and AI infrastructure best practices. Deliver customer workshops, architecture reviews, technical presentations, and hands-on enablement sessions. Collaborate with Product Management, Engineering, Support, and Sales teams to influence product direction and resolve technical challenges. Develop reusable technical assets including solution architectures, reference implementations, demonstrations, blogs, white papers, and competitive positioning materials. Build and maintain relationships with strategic AI technology partners to deliver integrated customer solutions. Required QualificationsEducationBachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline (or equivalent practical experience). Professional Experience5+ years of experience in Pre-Sales, Solution Architecture, Technical Consulting, or Customer Success. Experience designing cloud-based HPC, AI, or GPU solutions for enterprise customers. Experience engaging with both technical teams and executive stakeholders. Technical QualificationsCandidates should demonstrate experience in the following areas:HPC and GPU architecture across cloud and on-premises environments. Oracle Cloud Infrastructure (OCI) or other leading public cloud platforms. Infrastructure as Code using Terraform and Ansible. Python, Bash, and PowerShell scripting. Kubernetes and container orchestration. HPC cluster management platforms including Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure. Required SkillsCloud & InfrastructureOracle Cloud Infrastructure (OCI) Cloud Architecture Infrastructure as Code (IaC) Terraform Ansible Kubernetes Containerisation Cloud Migration HPC & AIHigh Performance Computing (HPC) GPU Computing AI Infrastructure Machine Learning Platforms Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving Programming & AutomationPython Bash PowerShell Automation Frameworks Infrastructure Automation HPC TechnologiesSlurm PBS Bright Cluster Manager RDMA InfiniBand MPI Distributed File Systems Customer & ConsultingSolution Architecture Technical Consulting Pre-Sales Executive Presentations Customer Workshops Technical Enablement AI Transformation Strategy Cloud Adoption Soft SkillsExcellent communication and presentation skills. Strong stakeholder management. Customer-first mindset. Analytical problem-solving. Cross-functional collaboration. Strategic thinking. Ability to simplify complex technical concepts for business audiences. Preferred QualificationsExperience with Oracle Cloud Infrastructure (OCI). Experience with large GPU clusters based on Kubernetes and/or Slurm.Experience supporting AI startups, research organisations, or enterprise AI programmes. Thought leadership through technical blogs, publications, open-source contributions, or conference presentations. Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud). Experience working across UK and EMEA enterprise customers. LanguagesEnglish (Required) Additional European language(s) would be advantageous. Success ProfileThe ideal candidate will:Combine deep technical expertise with outstanding customer engagement skills. Be passionate about AI, HPC, and cloud innovation. Influence customer technology strategy through trusted advisory relationships. Drive adoption of Oracle Cloud Infrastructure across strategic enterprise accounts. Thrive in a fast-paced, customer-facing environment while collaborating across multiple Oracle organisations. Range and benefit information provided in this posting are specific to the stated locations onlyPL: Hiring Range in PLN from: 156,377 to 268,077 per annum.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Career Level - IC4

Locations

  • Ireland
  • United Kingdom
  • Belgium
  • Romania
  • Poland
  • FILFORD, Belgium

Skills Required

  • following areasintermediate
  • Oracle Cloud Infrastructureintermediate
  • large GPU clusters based on Kubernetes and/or Slurmintermediate

Required Qualifications

  • Candidates should demonstrate experience in the following areas: (experience)
  • HPC and GPU architecture across cloud and on-premises environments. (experience)
  • Oracle Cloud Infrastructure (OCI) or other leading public cloud platforms. (experience)
  • Infrastructure as Code using Terraform and Ansible. (experience)
  • Python, Bash, and PowerShell scripting. (experience)
  • Kubernetes and container orchestration. (experience)
  • HPC cluster management platforms including Slurm, PBS, or Bright Cluster Manager. (experience)
  • High-performance networking technologies including RDMA and InfiniBand. (experience)
  • MPI and distributed file systems. (experience)
  • Cloud-native architectures. (experience)
  • AI/ML platforms, Large Language Models (LLMs), inference services, and AI infrastructure. (experience)

Preferred Qualifications

  • Experience with Oracle Cloud Infrastructure (OCI). (experience)
  • Experience with large GPU clusters based on Kubernetes and/or Slurm. (experience)
  • Experience supporting AI startups, research organisations, or enterprise AI programmes. (experience)
  • Thought leadership through technical blogs, publications, open-source contributions, or conference presentations. (experience)
  • Oracle Cloud certifications or equivalent cloud certifications (AWS, Azure, or Google Cloud). (certification)
  • Experience working across UK and EMEA enterprise customers. (experience)

Responsibilities

  • Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI).
  • Architect scalable AI and accelerated computing solutions using Infrastructure as Code (Terraform, Ansible) and Kubernetes.
  • Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
  • Partner with enterprise customers to design solutions that meet AI, machine learning, and high-performance computing requirements.
  • Design and support Large Language Model (LLM), Agentic AI, and AI platform deployments from proof-of-concept through production.
  • Serve as a trusted technical advisor on cloud architecture, migration strategies, and AI infrastructure best practices.
  • Deliver customer workshops, architecture reviews, technical presentations, and hands-on enablement sessions.
  • Collaborate with Product Management, Engineering, Support, and Sales teams to influence product direction and resolve technical challenges.
  • Develop reusable technical assets including solution architectures, reference implementations, demonstrations, blogs, white papers, and competitive positioning materials.
  • Build and maintain relationships with strategic AI technology partners to deliver integrated customer solutions.

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