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Associate Content Producer
London, England, United Kingdom · On-site
Entry level
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Full-time
Posted 1d ago
~40 hrs/week
Responsibilities
The Solutions Architect will act as a technical bridge between customers and internal teams to design and implement scalable AI infrastructure solutions. They will lead technical discovery, own proof-of-concepts, and develop reference architectures to support enterprise AI adoption.
Requirements
Candidates must have proven experience in a customer-facing technical role with deep expertise in AI infrastructure, GPU platforms, and Kubernetes. Strong communication skills are essential to translate complex customer requirements into supportable technical solutions.
Full job description
Role Summary:
We are seeking aSolution Architect - AI Infrastructureto 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,HPCArchitect, GPU Infrastructure Specialist, orTechnical Consultant withexperiencein 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,identifyingproduct 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 communicationskills 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 architectureexpertise, infrastructure credibility, and the ability to bridge customer requirements with platform capabilities.
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 JoinEra4:
You’llbe 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 companyoperatesat scale.
Diversity & Inclusion:
Era4is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Era4 delivers resilient, lower carbon, high-performance AI infrastructure. We are enabling the UK’s AI transformation by converting our brownfield sites into data centres for the new industrial era, creating ultra-fast AI capacity while supporting regeneration and bringing new investment into the communities around us.
Era4 is the new name of Carbon3.ai since 4 March 2026.
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