Principal Cloud Architect – HPC/GPU & AI Platform Solutions

Oracle; Belgique; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Oracle is seeking a Principal Cloud Architect to design and deliver HPC, GPU, and AI solutions on OCI for customers across the UK and EMEA. You will architect, deploy, and optimise complex HPC clusters and AI platforms in proof-of-concept and production environments.

This highly visible, customer-facing role combines deep technical expertise with strategic consulting as you partner with customers through their cloud and AI transformation journey, collaborating with Product Management,

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 5+ 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.

Responsabilités

• Design and deploy large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure (OCI).
• Architect scalable AI and accelerated computing solutions using IaC (Terraform, Ansible) and Kubernetes.
• Develop automated deployment frameworks for cluster provisioning, software installation, and lifecycle management.
• Partner with enterprise customers to design solutions meeting AI, ML, and HPC requirements.
• Design and support LLM, Agentic AI, and AI platform deployments from proof-of-concept to production.
• Serve as trusted 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 to influence product direction and resolve challenges.
• Develop reusable technical assets including solution architectures, reference implementations, demos, blogs, white papers, and competitive positioning.
• Build relationships with strategic AI technology partners to deliver integrated customer solutions.

Connaissances

OCI

Cloud Architecture

Infrastructure as Code

Terraform

Ansible

Kubernetes

Containerisation

Cloud Migration

Python

Bash

PowerShell

Slurm

RDMA

InfiniBand

MPI

LLMs

Agentic AI

AI Platform Architecture

Inference Serving

Formation

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent

Outils

OCI

Bright Cluster Manager

Slurm

Description du poste

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.

Responsibilities

Key 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.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related technical discipline (or equivalent practical experience).

Professional Experience

• 5+ 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 Qualifications

Candidates 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 Skills

Cloud & Infrastructure

• Oracle Cloud Infrastructure (OCI)
• Cloud Architecture
• Infrastructure as Code (IaC)
• Terraform
• Ansible
• Kubernetes
• Containerisation
• Cloud Migration

HPC & AI

• High Performance Computing (HPC)
• GPU Computing
• AI Infrastructure
• Machine Learning Platforms
• Large Language Models (LLMs)
• Agentic AI
• AI Platform Architecture
• Inference Serving

Programming & Automation

• Python
• Bash
• PowerShell
• Automation Frameworks
• Infrastructure Automation

HPC Technologies

• Slurm
• PBS
• Bright Cluster Manager
• RDMA
• InfiniBand
• MPI
• Distributed File Systems

Customer & Consulting

• Solution Architecture
• Technical Consulting
• Pre-Sales
• Executive Presentations
• Customer Workshops
• Technical Enablement
• AI Transformation Strategy
• Cloud Adoption

Soft Skills

• Excellent 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 Qualifications

• Experience 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.

Languages

• English (Required)
• Additional European language(s) would be advantageous.

Success Profile

• 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 only

PL: Hiring Range in PLN from: 156,377 to 268,077 per year.

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

About Us

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