Solutions Architect - AI Infrastructure
Carbon3 AI29 days ago
London, United KingdomSenior
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 proofs of concept, pilots, benchmarks, and architecture reviews.
- Represent customer needs by 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 sites.
- Define onboarding, readiness, and production-transition requirements across Engineering, Operations, PMO, and Customer Success.
- Deliver technical workshops for customers, partners, and internal teams.
Requirements
- 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 and supportable technical solutions.
- Experience leading technical discovery, architecture reviews, proofs of concept, and customer workshops.
- Strong communication skills with technical and executive stakeholders.
- Experience collaborating with Product, Engineering, Operations, and commercial teams.
- Advantageous experience includes AI/ML infrastructure, GPU platforms, distributed training, inference workloads, or HPC environments.
- Advantageous experience includes Kubernetes platform engineering, MLOps, cloud-native platform operations, infrastructure automation, infrastructure-as-code, large-scale storage, high-performance networking, or data-centre infrastructure.
- Advantageous experience includes product strategy, roadmap development, customer onboarding, service transition, technical account management, or work in sovereign cloud, public sector, defence, healthcare, or other regulated environments.
Benefits
- High visibility with leadership, substantial autonomy, and the opportunity to shape how a next-generation company operates at scale.
- Opportunity to help build critical national AI infrastructure powered by renewable energy across the UK.
- Era4 is an equal opportunity employer committed to diversity and inclusion.
Tech Stack
Categories
Solutions Engineering
About Carbon3 AI
Era4 (formerly Carbon3.ai) builds and operates lower‑carbon, high‑performance AI infrastructure by converting brownfield sites into GPU‑ready data centers. It provides AI compute capacity and Kubernetes‑based platform services for enterprises, ML engineers and data scientists operating in the UK. The company rebranded on 4 March 2026 and develops sites on brownfield land, pairing AI capacity with community regeneration goals.