AI Infrastructure Architecture

AI Infrastructure Engineer/ Architect

Location: Spain/Portugal

We welcome applications from professionals at all career levels, from Analyst through to Senior Manager

.
Locati

onWe are looking for AI Infrastructure Architects at multiple experience levels to design, build, deploy and optimise the infrastructure that powers real-world artificial intelligence and machine learning solutions. This is a hands-on role spanning cloud, on-premises and hybrid environments, with work across GPU clusters, distributed training, model serving, data pipelines, CI/CD, InfraOps, MLOps, monitoring and enterprise integratio

n.You may be developing your infrastructure engineering skills, leading delivery workstreams, owning complex architecture decisions or setting technical strategy at practice level. Whatever your level, you will help create scalable, secure, cost-efficient AI/ML infrastructure that delivers measurable business value for client

s.
What you will

• doDesign, build, configure and optimise AI/ML infrastructure across public cloud, on-premise and hybrid environmen
• ts.Provision and tune compute resources, including GPU clusters, distributed training environments, networking, storage, orchestration and model-serving platfor
• ms.Write, review and maintain code, scripts, infrastructure-as-code, deployment automation and CI/CD pipelines for reliable AI system releas
• es.Deploy AI systems, machine learning models and data pipelines into production, ensuring performance, reliability, security and complian
• ce.Monitor infrastructure and AI systems across InfraOps and MLOps, including observability, alerting, model performance, drift, cost and resource utilisati
• on.Troubleshoot and resolve issues across the full computational stack, from hardware and networking through software, pipelines and mode
• ls.Evaluate tools, frameworks, platforms and emerging technologies, advising on where they fit within scalable AI infrastructure solutio
• ns.Collaborate with clients, stakeholders, engineers and cross-functional teams to translate business requirements into practical, defensible architecture decisio
• ns.Document standards, procedures, design decisions and best practices to support repeatable delivery and knowledge shari

ng.
What we are looking

• forA degree in Computer Science, Computer Engineering or a related engineering field, or equivalent practical experie
• nce.Strong understanding of AI, machine learning and the infrastructure required to train, deploy, monitor and operate AI/ML syst
• ems.Hands-on experience coding, building, monitoring and troubleshooting AI/ML applications or infrastruc
• tureProgramming capability in languages such as Python, Java or C++, plus scripting and automation ski
• lls.Experience with cloud or on-premises infrastructure, ideally including hyperscaler platforms such as AWS, Azure or Google Cl
• oud.Knowledge of containers, orchestration, model deployment frameworks, CI/CD, infrastructure-as-code, monitoring and production operati
• ons.Experience with data pipelines and workflow management tools such as Apache Airflow or Kubef
• low.Strong problem-solving, communication and collaboration skills, with the ability to work effectively in fast-paced, cross-functional environme

nts.
For more senior l

• evelsProven ability to lead AI/ML infrastructure projects, teams or architecture workstreams from concept through deli
• very.Experience making and documenting architecture decisions across compute, networking, storage, orchestration, model serving, security, compliance, cost and scalabi
• lity.Deep expertise in at least one hyperscale platform, with broader awareness of AI/ML services, accelerators, interconnects, performance levers and cost optimisation opt
• ions.Ability to advise clients and senior stakeholders, translating complex technical trade-offs into clear recommendations linked to business outc
• omes.Experience defining architecture standards, reference patterns, roadmaps, governance, observability strategies and best practices for enterprise-scale AI/ML infrastruc