{"id":3259,"date":"2026-08-09T22:40:27","date_gmt":"2026-08-09T22:40:27","guid":{"rendered":"https:\/\/coderseditor.com\/itjobs\/job\/senior-architect-ai\/"},"modified":"2026-08-09T22:40:27","modified_gmt":"2026-08-09T22:40:27","slug":"senior-architect-ai","status":"publish","type":"job_listing","link":"https:\/\/coderseditor.com\/itjobs\/job\/senior-architect-ai\/","title":{"rendered":"Senior Architect AI"},"content":{"rendered":"

Senior Architect AI Overview<\/h2>\n\n\n\n\n\n\n\n\n
Company Name<\/strong><\/td>\nLiberty Global<\/td>\n<\/tr>\n
Job Role<\/strong><\/td>\nSenior Architect AI<\/td>\n<\/tr>\n
Qualifications<\/strong><\/td>\nBachelor’s<\/td>\n<\/tr>\n
Category<\/strong><\/td>\nIT Jobs<\/td>\n<\/tr>\n
Job Type<\/strong><\/td>\nFull Time<\/td>\n<\/tr>\n
Location<\/strong><\/td>\nLondon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

This role sits within Liberty Global\u00e2\u0080\u0099s technology organisation and is focused on shaping the architecture behind AI capabilities used across a large telecommunications environment. The position is responsible for defining and governing the end-to-end AI platform that supports services across a subscriber base of 85 million people. It combines deep technical architecture work with business-facing collaboration, so the successful candidate can ensure AI solutions are not only technically sound but also aligned to operational needs, budget realities, and measurable business outcomes.<\/p>\n

What you will do<\/h3>\n
    \n
  • Lead the overall design and ownership of the AI platform architecture, including data pipelines, model development, infrastructure, deployment layers, and integration with both on-premises and cloud-based systems and applications.<\/li>\n
  • Set the long-term technical direction for the platform so it can support current and future requirements across customer experience, AI innovation, and operational efficiency use cases.<\/li>\n
  • Establish architectural principles, design patterns, and technology selection criteria that enable AI solutions to scale reliably across multiple European markets and ventures.<\/li>\n
  • Ensure architectural decisions take account of operational constraints, budget limits, and business priorities while still maintaining strong technical standards.<\/li>\n
  • Own the integration of AI capabilities with Liberty Global\u00e2\u0080\u0099s core telecom infrastructure and associated ventures, making sure data flows smoothly and systems remain dependable.<\/li>\n
  • Design integration methods and API strategies that connect AI services to existing platforms while preserving security, performance, and data quality.<\/li>\n
  • Work alongside enterprise architects and engineering teams so AI solutions fit within the wider technology estate and infrastructure capabilities.<\/li>\n
  • Define monitoring, observability, quality assurance, and operational targets for AI platform components so the environment remains stable and performs as expected.<\/li>\n
  • Provide architectural guidance to engineers, data scientists, and product managers throughout the lifecycle of AI solution development.<\/li>\n
  • Collaborate with business stakeholders to gather requirements, turn them into technical designs, and clearly explain trade-offs, delivery timelines, and resource implications.<\/li>\n
  • Review and approve technical designs, checking that they follow architectural standards and best practices while addressing scalability, security, and maintainability.<\/li>\n
  • Work with operations teams on deployment planning, capacity forecasting, and cost optimisation for AI infrastructure and cloud resources.<\/li>\n
  • Support technical due diligence for acquisitions, investments, or partnerships by assessing the AI and technology landscape involved.<\/li>\n
  • Contribute to budget planning and cost optimisation discussions, including recommendations on infrastructure investment, cloud resource allocation, and technology selection.<\/li>\n
  • Design solutions that improve operational efficiency through automation, efficient resource use, and smart platform design while still meeting performance requirements.<\/li>\n
  • Support scaling and capacity decisions using usage patterns, performance metrics, and business growth projections.<\/li>\n
  • Take part in vendor reviews and technology assessments, offering recommendations that balance capability, cost, and operational impact.<\/li>\n
  • Improve and refine processes, frameworks, and operating context so the business can achieve the right outcomes.<\/li>\n
  • Set lifecycle management expectations and oversee end-of-life handling for models and components.<\/li>\n
  • Help define and validate business cases by establishing clear metrics, measurable outcomes, and return on investment so solutions create customer value and product impact.<\/li>\n<\/ul>\n

    What the role requires<\/h3>\n
      \n
    • Eight to ten years of experience in software architecture or technical lead roles, with four to five years specifically focused on AI\/ML platforms and data-intensive systems.<\/li>\n
    • Proven experience designing end-to-end architectures or processes for AI\/ML systems in production environments that support large user bases.<\/li>\n
    • Strong knowledge of cloud environments such as AWS, Azure, and GCP, along with containerisation tools like Kubernetes and Docker, and familiarity with MLOps frameworks and practices.<\/li>\n
    • Understanding of both Waterfall and Agile delivery approaches, including Kanban and SAFe.<\/li>\n
    • Deep knowledge of telecommunications systems and integration patterns involving OSS\/BSS, customer platforms, and network management systems.<\/li>\n
    • Ability to work effectively with both technical teams and business stakeholders, translating between technical and commercial language.<\/li>\n
    • Experience with AI\/ML technologies such as model training platforms, deployment frameworks, data pipelines, and monitoring tools.<\/li>\n
    • Background in distributed systems design, API architecture, and microservices patterns for scalable platform development.<\/li>\n
    • Strong understanding of databases, data warehousing, streaming platforms such as Kafka and Pulsar, and large-scale data processing frameworks.<\/li>\n
    • Excellent communication and presentation skills, including the ability to explain complex technical ideas to non-technical audiences and business stakeholders using data analysis.<\/li>\n
    • Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms and businesses.<\/li>\n
    • Ability to source, process, and analyse complex datasets to produce insights that support business and product decisions.<\/li>\n
    • Hands-on coding and prototyping experience in AI\/ML development, particularly with Python, TensorFlow, or PyTorch, would be an advantage.<\/li>\n
    • Experience building proof-of-concepts and validating new AI technologies would be beneficial.<\/li>\n
    • Background in data science or machine learning engineering, with an understanding of model development workflows, would be useful.<\/li>\n
    • Practical experience with infrastructure as code and DevOps practices for AI platforms would be an advantage.<\/li>\n
    • Knowledge of data management in M&A due diligence would be beneficial.<\/li>\n
    • Experience in telecommunications, cable, or network infrastructure industries, including subscriber analytics and operational systems, is preferred.<\/li>\n
    • A bachelor\u00e2\u0080\u0099s or master\u00e2\u0080\u0099s degree in Computer Science, Engineering, Telecommunications, or a related technical field is preferred.<\/li>\n
    • Hands-on development experience with Python, Java, or similar languages is nice to have, although it is not required for the day-to-day work.<\/li>\n
    • Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets, or equivalent knowledge gained through operations experience, is preferred.<\/li>\n<\/ul>\n

      Additional context<\/h3>\n

      The role is a full-time position based in London, United Kingdom, and is part of Liberty Global\u00e2\u0080\u0099s technology function. It offers the opportunity to work on AI architecture that supports a major telecom business, with exposure to strategic decisions affecting customer experience, innovation, operations, and corporate development activity such as acquisitions, investments, and partnerships.<\/p>\n\n

      Degree Requirement:<\/strong> Bachelor’s<\/p>\n

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