Senior Architect AI

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 ResponsibilitiesEnd-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 innovation, 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