Solutions Architect - AI Infrastructure

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.

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.

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.