Solutions Architect - AI Infrastructure

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., * 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

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., * 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.

Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.