AI Infrastructure Architect for Enterprise Scale & Kubernetes

Carbon3ai Limited.

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

3 days ago
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Job summary

Era4 is seeking a Solution Architect - AI Infrastructure to join its fast-scaling team in London. The role acts as the technical bridge between customers, Product Management, Engineering, Operations and Delivery teams to help organisations adopt Era4's AI infrastructure services.

The ideal candidate has experience in AI infrastructure, cloud platforms, Kubernetes, and customer-facing engagements, with the ability to translate requirements into scalable solutions and lead technical workshops and

Qualifications

  • Proven experience in a customer-facing Solutions Architect or related role.
  • Experience with AI infrastructure and cloud-native architectures.
  • Ability to translate customer requirements into scalable technical solutions.

Responsibilities

  • Lead technical discovery to understand AI workloads, infrastructure requirements and success criteria.
  • Design scalable solutions across Bare Metal, BMaaS, Kubernetes platforms, and AI infrastructure services.
  • Own technical proofs-of-concept, 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.
  • Strong communication with technical and executive stakeholders.

Skills

AI infrastructure
Kubernetes
Cloud platforms
Customer-facing engagements

Tools

Kubernetes
GPU platforms
Cloud platforms

Job description

Era4 is seeking a Solution Architect - AI Infrastructure to join its fast-scaling team in London. The role acts as the technical bridge between customers, Product Management, Engineering, Operations and Delivery teams to help organisations adopt Era4's AI infrastructure services.

The ideal candidate has experience in AI infrastructure, cloud platforms, Kubernetes, and customer-facing engagements, with the ability to translate requirements into scalable solutions and lead technical workshops and

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