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 proactively monitor components and system health..
System Design & Architecture - Correctness / Availability:
–Design and implement functional and correctness requirements for feature sets and/or systems in new or existing systems. 
–Design complex test scenarios (e.g., fault-injection, brown-out) to evaluate system correctness. 
–Implement data replication and synchronization techniques to maintain data integrity and availability.
Operational Troubleshooting & Incident Management:
–Take a proactive role in diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation, and mentor others in these processes. 
–Implement strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues. 
–Maintain expertise in owned components and systems to ensure effective troubleshooting and performance. 
–Meet operational readiness expectations through design and implementation. 
–Serve in operational support rotations, providing guidance in incident response and root cause investigations.
Compliance & Security:
–Implement robust security measures to protect data and applications in multi-tenant environments, including encryption techniques and access controls. 
–Execute remediation plans to address identified security gaps. 
–Ensure cloud infrastructure is in compliance with industry standards and regulations and that documentation is up to date.
Automation & Change Management:
–Develop and maintain automation scripts and tools (e.g., Infrastructure as Code (IaC)) to manage cloud infrastructure. 
–Create and adhere to change management plans for patching, updating, and rolling back applications, and begin designing systems and components to allow for automation of these processes.

Core Responsibilities
Planning & Execution:
–Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately-sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.
Collaboration & Partnership:
–Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected.
Problem Solving:
–Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Proactively escalates unresolved or critical issues with a thorough assessment and suggests potential solutions. Reviews, contributes to, and documents problem solving strategies.
Continuous Learning:
–Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Coaches and mentors junior team members, fostering continuous learning and knowledge sharing within and across teams.
Continuous Improvement:
–Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement.
Performance and Development:
–Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.