Senior AI Infrastructure Solutions Architect

Era4

Greater London

On-site

GBP 90,000 - 120,000

Full time

18 hours ago
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Job summary

Era4 is seeking a Solution Architect - AI Infrastructure to bridge customers with Product, Engineering, Operations and Delivery teams in adopting Era4's AI infrastructure services. The role suits a Senior Solutions Architect, Solutions Engineer, Cloud Architect, HPC Architect, or Technical Consultant with AI infrastructure and cloud platform experience.

You will design scalable solutions across Bare Metal, BMaaS, Kubernetes platforms and AI infrastructure services, own POCs and architecture

Qualifications

  • Proven experience in a customer-facing Solutions Architect, Solutions Engineer, Cloud Architect, or Technical Consultant role.
  • Strong understanding of AI infrastructure, GPU platforms, Kubernetes, and cloud-native architectures.
  • Ability to translate customer requirements into scalable, supportable technical solutions.
  • Experience leading technical discovery, architecture reviews, proofs of concept, and customer workshops.
  • Strong communication skills with the ability to engage both technical and executive stakeholders.
  • Experience working closely with Product, Engineering, Operations, and commercial teams.

Responsibilities

  • Lead technical discovery with customers to understand AI workloads, infrastructure requirements, sovereignty needs, and success criteria.
  • Design scalable solutions across Bare Metal, BMaaS, Kubernetes platforms, and AI infrastructure services.
  • Own technical proof-of-concepts, pilots, benchmarks, and architecture reviews.
  • Act as the voice of the customer, identifying product gaps and influencing roadmap priorities.
  • Develop reusable reference architectures, deployment patterns, and best practices.
  • Translate customer demand into infrastructure, capacity, networking, and service requirements for future Era4 sites.
  • Define onboarding, readiness, and production transition requirements across Engineering, Operations, PMO, and Customer Success teams.
  • Deliver technical workshops for customers, partners, and internal teams.

Skills

Customer-facing
AI infrastructure
Kubernetes
Cloud-native architectures
Strong communication
Stakeholder engagement

Job description

Era4 is seeking a Solution Architect - AI Infrastructure to bridge customers with Product, Engineering, Operations and Delivery teams in adopting Era4's AI infrastructure services. The role suits a Senior Solutions Architect, Solutions Engineer, Cloud Architect, HPC Architect, or Technical Consultant with AI infrastructure and cloud platform experience.

You will design scalable solutions across Bare Metal, BMaaS, Kubernetes platforms and AI infrastructure services, own POCs and architecture

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