Senior Architect AI

Join Liberty Global as a Senior Architect AI, where you will design and oversee the end-to-end AI platform architecture that powers our telecommunications services across 85 million subscribers. You will bridge technical excellence with business value, ensuring seamless integration of AI solutions with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise, strong communication skills, and a passion for driving business outcomes through innovative AI solutions.

• Design and oversee the end-to-end AI platform architecture that powers telecommunications services.
• Bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with telecommunications infrastructure.
• Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations.
• Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices
• Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems
• Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis
• Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions
• Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms
• Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools
• Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc
• 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
• Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language
• Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses
• Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases
• Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks
• 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
• Knowledge of data management
• Practical experience with infrastructure-as-code and DevOps practices for AI platforms
• M&A due diligence
• 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