Pre Sales Solution Architect (GPU Compute) - AI Infrastructure

Looking for a role with plenty of growth opportunities?

Join a rapidly growing cloud and AI infrastructure company helping enterprises modernise Kubernetes operations, infrastructure orchestration, and AI/ML workloads across hybrid and multi-cloud environments. The organisation works with enterprise customers building next-generation cloud-native and AI-powered platforms.

This opportunity is for a Senior Solutions Architect to act as a trusted technical adviser, helping customers design and adopt large-scale Kubernetes and AI infrastructure solutions. Working closely with sales, engineering, and product teams, the role combines technical leadership, customer engagement, and solution design across modern cloud and AI technologies.

Ready to take your expertise to the next level? Get in touch today!

Responsibilities:

• Partner with commercial teams to help customers understand and realise the value of modern infrastructure orchestration and AI/ML platform capabilities
• Lead technical discovery sessions with DevOps, SRE, platform engineering, and architecture teams
• Design scalable architectures and implementation strategies across Kubernetes, automation, hybrid cloud, and AI infrastructure environments
• Deliver technical demos, workshops, proof-of-concept engagements, and customer presentations
• Guide customers through infrastructure automation, governance, workload orchestration, and platform adoption best practices
• Act as the primary technical advisor throughout the pre-sales and evaluation lifecycle
• Troubleshot complex technical environments and address customer objections collaboratively with product and engineering teams
• Translate customer feedback into actionable product and roadmap recommendations
• Represent the company at industry conferences, webinars, technical events, and community engagements
• Travel to customer sites and events as required

Skills/Must Have:

• 5+ years of experience in a customer-facing Solutions Architect, Sales Engineer, or pre-sales technical role
• Strong expertise in Kubernetes, containers, infrastructure automation, and cloud-native platforms
• Experience across hybrid and multi-cloud environments, including AWS, Azure, GCP, and on-prem infrastructure
• Proven ability to communicate complex technical concepts to both technical and business stakeholders
• Experience supporting full pre-sales lifecycle activities from discovery through deployment and close
• Background in software engineering, DevOps, platform engineering, or systems architecture
• Strong presentation, communication, and stakeholder engagement skills
• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Desirable Skills:

• Experience with AI/ML infrastructure, GPU platforms, or accelerated computing environments
• Familiarity with AI/ML frameworks such as TensorFlow or PyTorch
• Hands-on experience with CNCF ecosystem technologies
• Certifications such as CKA, CKAD, or AWS Solutions Architect
• Understanding of AI workload orchestration and modern GPU infrastructure requirements
• Ability to quickly learn emerging infrastructure and AI technologies

Benefits:

• Tailored Bonus Structure 
• Remote working

Salary:

• £150,000 base salary and up