Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data-centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public-sector organisations
Role Summary:
We are seeking a Solution Architect - AI Infrastructure to join our fast-scaling team. In this role, you will act as the technical bridge between customers, Product Management, Engineering, Operations, and Delivery teams, helping organisations successfully adoptEra4's AI infrastructure services.
The role is ideal for a Senior Solutions Architect, Solutions Engineer, Cloud Architect, HPC Architect, GPU Infrastructure Specialist, or Technical Consultant with experience in AI infrastructure, cloud platforms, Kubernetes, and customer-facing technical engagements. This is an opportunity to join a mission-led AI business that is redefining infrastructure, intelligence, and impact for enterprise customers.
Key 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.
Essential Experience:
- 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.
One or more would be an advantage:
You do not need deep experience in every area. We care most about customer-facing architecture expertise, infrastructure credibility, and the ability to bridge customer requirements with platform capabilities.
- AI/ML infrastructure, GPU platforms, distributed training, inference workloads, or high-performance computing (HPC) environments.
- Kubernetes platform engineering, MLOps, or cloud-native platform operations.
- Infrastructure automation and Infrastructure-as-Code technologies.
- Large-scale storage, high-performance networking, or data-centre infrastructure.
- Product strategy, roadmap development, or customer-driven platform evolution.
- Customer onboarding, service transition, or technical account management activities
- Sovereign cloud, public sector, defence, healthcare, or other regulated environments.
Why Join Era4:
You’ll be joining a mission-driven start-up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next-generation company operates at scale.
Diversity & Inclusion:
Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Skills Required
- 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 ability to engage technical and executive stakeholders.
- Experience working closely with Product, Engineering, Operations, and commercial teams.
- Experience with AI/ML infrastructure, distributed training, inference workloads, or HPC environments.
- Kubernetes platform engineering, MLOps, or cloud-native platform operations experience.
- Experience with infrastructure automation and Infrastructure-as-Code technologies.
- Experience with large-scale storage, high-performance networking, or data-centre infrastructure.
- Product strategy, roadmap development, or customer-driven platform evolution experience.
- Experience in customer onboarding, service transition, or technical account management.
- Experience with sovereign cloud, public sector, defence, healthcare, or other regulated environments.
What We Do
Carbon3.ai is building the UK’s sovereign AI platform – secure, sustainable, and designed for real-world impact. AI growth demands are creating new challenges and compute power requirements are outpacing supply. At Carbon3.ai, we’re not just providing infrastructure, we’re building the foundations to overcome these challenges. We are an energy business transforming into the UK’s sovereign choice for AI. Vertically integrated from soil to software transforming legacy industrial sites into renewable powered AI data hubs. Designed, owned, and operated by Carbon3.ai, all infrastructure and data processing are located within the UK and fully subject to UK jurisdiction and regulatory oversight. We generate our own off-grid renewable power, providing low-cost, sustainable energy comparable to Nordic levels, making AI workloads both affordable and sustainable. We own 50+ sites across the UK and are rapidly scaling them into AI data centres, enabling high-density, low-latency, sovereign AI deployment at national scale. Whether you're training models, deploying intelligent agents, or building industry-specific solutions, Carbon3.ai accelerates your journey from concept to production. Backed by strategic partnerships with leading brands and robust investment, we’re building the infrastructure to power the UK’s most ambitious AI innovation – ensuring British enterprises can access world-class AI capabilities securely and sustainably.
