We’re looking for a Senior Architect AI 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. What will you be doing? 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 telecommunications systems (OSS/BSS, CRM, billing, network management) anchored in a IT background with understanding of 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, network optimization, 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 We tend to look for people with: 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 What’s in it for you? Competitive salary + Bonus **where applicable** 25 days annual leave with the option to purchase 5 more Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance Matched pension contribution up to 10% (UK only) Free public transport subscription (NL only) 24 hours of paid Volunteer Time Off Discounted gym and wellness memberships Access to our car benefit scheme Access to our online learning platform to continue to develop and grow your career with us The chance to join an innovative, fast-paced and passionate team Who we are: Liberty Global is a dynamic team of operators and investors committed to generating and delivering value through the strategic management of our three platforms: Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom delivers next-generation products through our advanced fibre and 5G networks, providing over 80 million fixed and mobile connections across Europe through well- known brands such as Virgin Media O2, VodafoneZiggo and Telenet. Liberty Growth is our $3bn investment portfolio of fast-growing businesses in content, tech, and infrastructure which includes stakes in ITV, Televisa Univision, Plume, Lionsgate and the Formula E racing series, as well brands such as Wyre, nexfibre, Egg and Believ. Liberty Services is our newest platform spearheaded by Liberty Blume, providing tech- enabled professional services to the Liberty Global Group and 3rd party businesses. Working at Liberty Global means a career at the heart of a vibrant, innovative group of companies driving value for shareholders, people and society. Liberty Global is an equal opportunity employer. If you are curious and resilient with a limitless mindset, we’re eager to hear from you, no matter your background. Our Story We’re building Tomorrow’s Connections Today, bringing people together through the power of our technology. Liberty Global is a world leader in converged broadband, video and mobile communications and an active investor in cutting-edge infrastructure, content and technology ventures. With our investments in fibre-based and 5G networks we play a vital role in society, currently providing over 85 million fixed and mobile connections and rolling out the next generation of products and services, while readying our networks for 10 Gbps and beyond. We’re creating national champions, combining the best broadband and mobile networks under brands such as Virgin Media-02 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, Sunrise in Switzerland, Virgin Media in Ireland and UPC in Slovakia. Liberty Global Ventures, our global investment arm, has a portfolio of more than 75 companies and funds across content, technology and infrastructure, including strategic stakes in ITV, Univision, Plume, Lionsgate and the Formula E racing series. 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. And we’re prioritising 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: Peopleservices@Libertyglobal.com