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Senior Architect AI

libertyglobal · London · United Kingdom · On-site

Posted Jul 24, 2026

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Job Purpose   As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty   Global's   telecommunications services across our 85 million subscriber   base .   You'll   bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical   expertise   combined with   strong communication   skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes.    Key Responsibilities   End-to-End AI Architecture Design & Ownership      Design and   maintain   comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with   both   on Prem and cloud platforms and applications.     Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience,   AI in n ovation , and operational efficiency use cases     Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures     Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while   maintaining   technical excellence     Platform Integration & Technical Accountability      Take accountability for AI platform integration with Liberty   Global's   core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability     Design integration patterns and API strategies that connect AI services with existing platforms while   maintaining   security, performance, and data quality standards     Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities     Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met     Technical Guidance & Cross-Functional Collaboration      Provide technical   expertise   and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle     Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly     Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns     Collaborate with…