Principal Cloud Architect – HPC/GPU & AI Platform Solutions

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
The 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.
Career Level - IC4
Key Responsibilities
System Design & Architecture - System Scalability:
–Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including leveraging distributed state management tools.
–Optimize code and/or systems for large-scale data processing and high-throughput requirements to support hyper-scale systems.
–Define scalability requirements for owned components and ensure design and implementation requirements are met.
–Design systems to scale with elasticity (e.g., effectively scaling both up and down).
–Leverage data plane platforms to effectively handle large-scale data retrieval, storage, and processing.
–Design performance and load testing.
System Design & Architecture - System Reliability Design:
–Build and design fault-tolerant components and systems capable of withstanding in-service updates by implementing redundancy, replication, and automatic failover mechanisms.
–Design systems to effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance.
–Implement and optimize approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting.
–Design components and systems that are durable and adhere to service level objectives (SLOs), setting expectations for availability and durability of other computing services within the department.
System Design & Architecture - System Reliability Performance:
–Define key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems.
–Build and customize moderately complex dashboards, telemetry systems, and alerting mechanisms to proact