At a Glance
- Tasks: Design and oversee AI platform architecture for a leading telecommunications provider.
- Company: Join Liberty Global, a major player in the telecom industry with 85 million subscribers.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on innovation and operational excellence.
- Why this job: Make a real impact by integrating cutting-edge AI solutions into telecommunications services.
- Qualifications: 8-10 years in software architecture, with a focus on AI/ML platforms.
The predicted salary is between 70000 - 90000 £ per year.
Job Purpose
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.
Job Purpose
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.
Key Responsibilities
- End-to-End AI Architecture Design & Ownership
- Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications.
- Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases
- Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures
- Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence
- Platform Integration & Technical Accountability
- Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability
- Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards
- Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities
- 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
- Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle
- Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly
- Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns
- Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources
- Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships
- Operational Excellence & Budget Considerations
- Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices
- Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements
- Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections
- Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact
- Define, refine & optimise processes, frameworks & context to ensure right business outcomes
- Set Lifecycle management expectations and govern End of Existence models and components
- Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact
Essential
- Knowledge and Experience
- 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
- 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
Desirable
- Hands-on coding and prototyping experience in AI/ML development (Python, Tensor Flow, Py Torch)
- 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 Dev Ops practices for AI platforms
- Knowledge of data management
- M&A due diligence
- Preferred Education/qualifications
- 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
- #J-18808-Ljbffr
Senior Architect AI in Reading employer: Liberty Global
Liberty Global is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration in the rapidly evolving field of AI and connectivity. With a strong commitment to employee growth, the company provides ample opportunities for professional development and encourages a culture of creativity and teamwork. Located in a vibrant tech hub, employees benefit from a supportive atmosphere that values diversity and promotes cutting-edge solutions in customer service.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Architect AI in Reading
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Liberty Global or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Liberty Global.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Liberty Global.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Liberty Global that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Architect AI in Reading
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Liberty Global.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Liberty Global and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Liberty Global
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Liberty Global uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
