Supply Chain and Ops AI Infrastructure Architect (AI)

Location: London, United Kingdom; Workplace type: Hybrid

Company

hirify.global is a global professional services company delivering technology, cloud, data, AI, operations, and industry solutions to organizations in more than 120 countries.

What you will do

• Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling.
• Architect, configure, and provision cloud and on-premises compute resources, including GPU clusters and distributed training environments.
• Design and maintain deployment automation and CI/CD pipelines for reliable releases of AI systems, models, applications, and data pipelines.
• Lead container orchestration and model serving using Docker, Kubernetes, and model deployment frameworks.
• Optimize computational infrastructure for performance, power, cost, utilization, and scalability, while integrating AI systems with enterprise platforms and maintaining security and regulatory compliance.
• Own AI monitoring and infrastructure health across InfraOps and MLOps, troubleshoot complex issues, lead root-cause analysis, mentor junior engineers, and define architecture standards.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related engineering field.
• Experience coding, building, monitoring, and troubleshooting AI/ML model applications, and designing infrastructure for deployment and operation on premises or in public cloud environments.
• Working knowledge of supply chain and engineering processes, including planning, procurement, manufacturing, or logistics, with the ability to translate operational problems into AI-enabled decisions, workflows, and measurable improvements.
• Strong understanding of AI and machine learning, computing infrastructure, and preferably AI infrastructure.
• Professional experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large-scale solutions.
• Programming proficiency in languages such as Python, Java, or C++.
• Experience with data pipeline and workflow management tools such as Apache Airflow or Kubeflow.
• Strong problem-solving skills and the ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Culture & Benefits

• Full-time employment in a hybrid workplace.
• Work in a global professional services environment focused on technology, innovation, and measurable client value.
• Collaborate across cloud, data, AI, operations, and industry-focused teams.
• Contribute to an inclusive workplace committed to equal employment opportunity and non-discrimination.