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 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  Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources  Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships  Operational Excellence & Budget Considerations  Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices  Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements  Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections  Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact  Define, refine & optimise processes, frameworks & context to ensure right business outcomes  Set Lifecycle management expectations and govern End of Existence models and components  Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact  Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems  Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases  Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices  Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc  Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems  Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language  Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools  Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms  Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks  Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis  Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses  Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions  Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch)  Experience with proof-of-concept development and technical validation of new AI technologies  Background in data science or machine learning engineering with an understanding of model development workflows  Practical experience with infrastructure-as-code and DevOps practices for AI platforms  Knowledge of data management   M&A due diligence  Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems  Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field  Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work)  Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations  Experience with architectural frameworks and documentation practices for enterprise-scale systems  Our Story We’re building Tomorrow’s Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms — Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe’s best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow’s Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we’re prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e-mail address and CV; hereafter collectively “your data”) will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the “Liberty Global Group”, “we” or “us”) and third party organizations providing recruitment, selection, placement and employment services. Such third parties will use candidate information only in connection with such services, and applicable law. Your data will be retained for the period of up to 1 year after closing the selection process, after which it will be deleted. You have: the right to access your data or ask for a copy of the personal data that we hold about you and, if such personal data is inaccurate or incomplete, to request the rectification, erasure or blocking of such personal data. You have the right to object to the processing; and the right to lodge a complaint at a supervisory authority or a court of law in accordance with applicable laws. If you wish to exercise your privacy rights or if you have any questions about our use of your data or about your privacy rights please contact: [email protected]

Senior Architect AI.

more at Libertyglobal.

Senior Manager, Commercial and Corporate Finance - Talent Community

Director, Front Office (Origination Speciality Finance)

Corporate Tax Strategy - Senior Manager

similar roles.

Data Scientist

AI Software Engineer

AI Workflow Engineer

Senior Data Engineer

Data Scientist, Sensors

Student Services Advisor