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Infrastructure Solutions Architect
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AI Infrastructure Solutions Architect / Consultant
12 Month Contract
Remote with European Travel
£1,200 per day
Overview
We are partnering with an innovative AI Infrastructure Consultancy that is helping organisations design, deploy, and operationalise next-generation AI platforms.
We are seeking an experienced AI Infrastructure Solutions Architect to engage directly with enterprise customers, lead technical discovery sessions, design AI platform architectures, and build proof-of-concept solutions that demonstrate the value of modern AI technologies.
This is a highly customer-facing role that combines technical consulting, pre-sales engagement, solution architecture, and hands-on platform delivery.
The successful candidate will have a strong background in AI Infrastructure, HPC, GPU-accelerated environments, and the software platforms that sit between infrastructure and AI workloads.
Key Responsibilities
- Lead customer workshops, discovery sessions, and technical consultations.
- Design AI and HPC platform architectures aligned to customer requirements.
- Build and deliver Proof of Concepts (PoCs) showcasing AI, GenAI, and GPU-accelerated workloads.
- Act as a trusted advisor to customers throughout the pre-sales and delivery lifecycle.
- Define AI platform strategies covering infrastructure, orchestration, MLOps, and operational models.
- Design scalable environments for AI training, inference, and data-intensive workloads.
- Produce high and low-level solution designs, architecture documentation, and implementation roadmaps.
- Collaborate with customer stakeholders, engineering teams, and technology partners.
- Deliver technical demonstrations, workshops, and presentations to both technical and non-technical audiences.
- Help organisations maximise value from AI infrastructure investments.
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Required Experience
- Proven experience as an AI Solutions Architect, AI Infrastructure Consultant, AI Platform Architect, HPC Architect, or similar role.
- Strong understanding of AI infrastructure, GPU platforms, and accelerated computing environments.
- Experience with NVIDIA-based AI platforms including DGX, HGX, H100, or equivalent technologies.
- Experience designing AI, ML, and GenAI environments.
- Strong knowledge of Kubernetes, Slurm, or large-scale workload orchestration platforms.
- Experience building customer-facing Proof of Concepts and technical demonstrations.
- Strong pre-sales, consulting, and stakeholder management experience.
- Experience with cloud and hybrid cloud architectures across Azure, AWS, or Google Cloud.
- Knowledge of Infrastructure as Code and automation tooling such as Terraform, Ansible, or Python.
- Ability to translate complex technical concepts into business outcomes.
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Desirable Experience
- NVIDIA AI Enterprise.
- NVIDIA NIM.
- Kubeflow, MLflow, Ray, Run:AI, or similar AI orchestration platforms.
- RAG (Retrieval-Augmented Generation) architectures.
- LLM deployment and optimisation.
- Vector databases and GenAI application design.
- MLOps and AI platform engineering.
- HPC and scientific computing environments.
- Experience speaking at conferences, webinars, or industry events.
What We're Looking For
We're looking for someone who is equally comfortable speaking with CIOs and CTOs as they are building a hands-on AI proof of concept.
You will be passionate about AI, emerging technologies, and helping organisations successfully adopt AI platforms. You'll possess the credibility to advise senior stakeholders while retaining the technical depth required to design, demonstrate, and deliver enterprise AI solutions.
This is an opportunity to play a key role at the intersection of AI Infrastructure, HPC, GenAI, and customer innovation.
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