TL;DR

Solutions Architect (AI/GPU): Designing scalable GPU cloud solutions for AI startups and enterprises with an accent on translating customer requirements into architectural designs and deployment plans. Focus on optimizing AI workloads, designing high-performance GPU clusters, and ensuring smooth onboarding.

Location: UK

Company

%hirify_global% provides cost-effective, high-performance GPU cloud infrastructure engineered for AI.

What you will do

Understand customer AI workloads, technical requirements, and scaling needs.
Design tailored GPU infrastructure solutions including capacity planning, cluster design, networking, and performance optimization.
Provide architectural guidance across compute, networking, storage, and deployment patterns.
Collaborate with engineering and operations teams to ensure customer solutions align with %hirify_global% standards.
Support onboarding, proof-of-concept projects, and GPU cluster deployments.
Troubleshoot architecture-level challenges and recommend best practices for performance and cost optimization.

Requirements

4+ years in solution architecture, cloud architecture, systems engineering, or similar roles.
Strong understanding of GPU compute, HPS, AI/ML workloads, and high-performance infrastructure.
Knowledge of networking (L2/L3, InfiniBand, RoCE), storage systems, and distributed compute patterns.
Experience designing or supporting GPU infrastructure clusters.
Ability to translate customer needs into clear, scalable technical solutions.
Strong communication skills and comfort presenting to technical and non-technical audiences.
Hands-on experience with Linux systems, containers, orchestration tools, or ML frameworks.

Nice to have

Experience with GPU cluster management or high-density compute environments.
Experience with Kubernetes, Terraform, observability tools, or performance profiling for AI workloads.

Culture & Benefits

Culture of relentless innovation, ownership, and accountability.
Opportunity to build trust through openness and transparency.
Committed to fostering an inclusive, diverse, and equitable workplace.
Encourages applications from candidates of all backgrounds, experiences, and abilities.
Directly shape how customers build and scale world-class AI systems.

Solutions Architect (AI)