Senior Architect AI

As Senior Architect AI, you design and oversee Liberty Global’s AI platform to power telecom services for a 85 million subscriber base. You will own the technical vision, ensuring an end-to-end AI architecture that spans data pipelines, model development, and deployment across on-prem and cloud environments. You collaborate with engineering and business stakeholders to translate needs into scalable, secure, and cost-aware solutions. This role focuses on delivering reliable AI capabilities that drive customer value and operational efficiency. You will operate at scale, shaping platform strategy across Europe and guiding cross-functional teams.

• Design and maintain end-to-end AI platform architecture including data pipelines, model development, infrastructure, and deployment across on-prem and cloud
• Own the technical vision for AI platform evolution to meet current and future business needs
• Define standards, patterns, and tech selection for scalable AI implementations across markets
• Ensure architecture aligns with operational, budget, and business priorities while maintaining excellence
• Drive AI platform integration with Liberty Global’s telecom infrastructure and ventures, ensuring data flow, security, and reliability
• Provide technical guidance to engineering, data science, and product teams throughout the lifecycle
• Review and approve designs for scalability, security, and maintainability; align with enterprise architecture
• Collaborate on deployment strategies, capacity planning, and cost optimization for AI infra and cloud resources
• Support technical due diligence for acquisitions, investments, or partnerships
• Define and optimize processes, governance, and lifecycle management for AI components
• Establish metrics, ROI, and measurable outcomes to ensure customer value and product impact

• 8-10 years in software architecture or tech lead roles with 4-5 years in AI/ML platforms and data-intensive systems
• Proven track record designing end-to-end AI/ML architectures in production for large user bases
• Experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps practices
• Knowledge of Agile/Waterfall methodologies and scaling with Kanban or SAFE
• Deep understanding of telecom systems and OSS/BSS integration patterns
• Strong ability to translate technical concepts for business stakeholders
• Proficiency in AI/ML tech including model training, deployment, data pipelines, and monitoring
• Experience with distributed systems, API/microservices, and data warehousing
• Knowledge of streaming platforms (Kafka, Pulsar) and big data processing
• Budget planning, cost modeling, and operational considerations for large-scale platforms
• Ability to source, process, and analyze complex datasets for business decisions
• Desirable: hands-on coding in Python, TensorFlow, PyTorch; PoC development; IaC and DevOps for AI platforms
• Education in telecom, CS/Engineering preferred
• Nice to have: knowledge of AI ethics and regulatory considerations for Europe

• strong communication and presentation skills
• cross-functional collaboration
• ability to translate between technical and business language
• AWS, Azure, GCP
• Kubernetes, Docker
• MLOps frameworks