Senior Architect AI
On-siteLondon, England, United Kingdom or Reading, England, United Kingdom
Job Summary
Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, and deployment frameworks across on-prem and cloud environments. Own technical vision for AI platform evolution, ensuring seamless integration with Liberty Global's core telecommunications infrastructure while defining architectural standards and design patterns. Provide technical guidance to engineering teams, data scientists, and product managers throughout the development lifecycle, translating complex concepts into actionable recommendations. Collaborate with stakeholders to establish output goals, monitoring practices, and quality assurance protocols, contributing to budget planning and cost optimization discussions. Validate business cases by establishing clear metrics and ROI to ensure solutions deliver tangible customer value and product impact.
Required Qualifications
- 8-10 years of experience in software architecture or technical lead roles
- 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
Desired Qualifications
- 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
- 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
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