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
1. 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.
2. 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
3. Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures
4. Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence
Platform Integration & Technical Accountability
5. Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability
6. Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards
7. Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities
8. 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
9. Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle
10. Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly
11. Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns
12. Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources
13. Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships
Operational Excellence & Budget Considerations
14. Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices
15. Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements
16. Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections
17. Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact
18. Define, refine & optimise processes, frameworks & context to ensure right business outcomes
19. Set Lifecycle management expectations and govern End of Existence models and components
20. 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:
21. 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
22. Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases
23. Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices
24. Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc
25. Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems
26. Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language
27. Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools
28. Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms
29. Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks
30. Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis
31. Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses
32. Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions
Desirable:
33. Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch)
34. Experience with proof-of-concept development and technical validation of new AI technologies
35. Background in data science or machine learning engineering with an understanding of model development workflows
36. Practical experience with infrastructure-as-code and DevOps practices for AI platforms
37. Knowledge of data management
38. M&A due diligence
Preferred education/qualifications:
39. Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems
40. Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field
41. Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work)
42. Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations
43. Experience with architectural frameworks and documentation practices for enterprise-scale systems
What’s in it for you?
44. Competitive salary + Bonus **where applicable**
45. 25 days annual leave with the option to purchase 5 more
46. Access to wellbeing and mental health benefits such as the Calm app, personal medical, critical illness cover and dental insurance
47. Matched pension contribution up to 10% (UK only)
48. Free public transport subscription (NL only)
49. 24 hours of paid Volunteer Time Off
50. Discounted gym and wellness memberships
51. Access to our car benefit scheme
52. Access to our online learning platform to continue to develop and grow your career with us
53. 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.