Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical discipline (or equivalent practical experience).
• 5+ years 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 expertise in HPC and GPU architecture, Oracle Cloud Infrastructure (OCI) or other public clouds, Infrastructure as Code (Terraform, Ansible), scripting (Python, Bash, PowerShell), Kubernetes, HPC cluster management (Slurm, PBS, Bright Cluster Manager), high-performance networking (RDMA, InfiniBand), MPI, distributed file systems, cloud-native architectures, AI/ML platforms, Large Language Models, inference services, and AI infrastructure.
• Required skills include cloud architecture, cloud migration, containerization, solution architecture, pre-sales, technical consulting, customer workshops, executive presentations, and AI transformation strategy.
• Strong soft skills: excellent communication, stakeholder management, customer-first mindset, analytical problem-solving, cross-functional collaboration, strategic thinking, and ability to simplify complex technical concepts.
• Fluent in English.

Nice to Haves

• Experience with Oracle Cloud Infrastructure (OCI).
• Experience with large GPU clusters using Kubernetes and/or Slurm.
• Experience supporting AI startups, research organizations, or enterprise AI programs.
• Thought leadership via technical blogs, publications, open-source contributions, or conference talks.
• Oracle Cloud or equivalent cloud certifications (AWS, Azure, Google Cloud).
• Experience working with UK and EMEA enterprise customers.
• Additional European language skills.

What You'll Be Doing

• Designing and deploying large-scale HPC and GPU infrastructure on Oracle Cloud Infrastructure.
• Architecting scalable AI and accelerated computing solutions with Infrastructure as Code and Kubernetes.
• Developing automated deployment frameworks for cluster provisioning and management.
• Partnering with enterprise customers to tailor AI, ML, and HPC solutions.
• Designing and supporting Large Language Model, Agentic AI, and AI platform deployments from proof-of-concept to production.
• Serving as a trusted advisor on cloud architecture, migration, and AI infrastructure best practices.
• Delivering workshops, technical presentations, architecture reviews, and enablement sessions.
• Collaborating with product management, engineering, support, and sales teams.
• Developing reusable technical assets like solution architectures, demos, blogs, and white papers.
• Building and maintaining relationships with strategic AI technology partners.
• Leading scalable, fault-tolerant system design focused on performance, reliability, correctness, and availability.
• Proactively troubleshooting and managing incidents to ensure smooth system operations without downtime.
• Ensuring compliance and security of cloud infrastructure, enforcing robust access controls and encryption.
• Automating cloud infrastructure deployment, patching, updating, and rollback processes.
• Coordinating multiple projects, managing timelines, and adjusting plans as needed.
• Collaborating cross-functionally and engaging with stakeholders to align on solutions.
• Identifying problems, providing resolutions, and escalating critical issues appropriately.
• Pursuing continuous learning and mentoring junior team members.
• Contributing to process improvements and talent development activities.