Enterprise data architect Work, Jobs in Norwood, Gtl (with Salaries)

Senior Architect AI
Liberty Global —London
- Full-time
- Azure
- Computer Science
- DevOps
1h
Data Security Architect & Engineer - Consultant / Senior Consultant
Deloitte —London
- Hybrid work
- Azure
- Computer Science
- DevOps
Global IT Senior Director - Enterprise Architect for Data
Boston Consulting Group —London
- Full-time
- APIs
Lead AI Tech Architect – Enterprise Solutions (ERP Transformation) - London | BCG Platinion
Boston Consulting Group —London
- Full-time
- Sales
- Master's degree
- Bachelor's degree
Technical Specialist, Claude Code
Anthropic —London
- £180,000 - £225,000 a year
- Hybrid work
- Master's degree
- Bachelor's degree
- Travel
- Flexible schedule
Enterprise AI Architect
T. Rowe Price —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Technology Architect - Infrastructure Architect (Capacity & Performance, Multi-Platform) - London/Warwick), UK
Infosys —London
- Analysis skills
- Continuous improvement
- Linux
AI Solutions Architect - London | BCG Platinion
Boston Consulting Group —London
- Full-time
- Azure
- Computer Science
- Master's degree
Principal Consultant-Oracle HRMS EBS Enterprise Architect UK
Infosys —London
- Oracle
- SQL
- Analysis skills
Global IT Enterprise Architect Senior Manager - GenAI
Boston Consulting Group —London
- Full-time
- Microsoft Powerpoint
- APIs
- AI
Enterprise Data Architect
DLA Piper —London
- Azure
- Analysis skills
- Presentation skills
Startup Solutions Architect, AWS Startups
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- DevOps
- Engineering
- Flexible schedule
Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- Military
- Engineering
IT Systems Architect and Business Intelligence Lead
KASDIGITALTECH LTD —Ilford
- £40,000 - £60,000 a year
- Full-time
- IT
- In-person
- Communication skills
- Free parking
Quick apply
Senior Software Engineer II - Wise for Enterprise
Wise —London
- £111,000 - £145,000 a year
- Full-time
- Java
- Mentoring
- Leadership
Quick apply
Analytics Forward Deployed Engineer Principal
Salesforce —London
- Full-time
- SQL
- Scripting
- APIs
Solution Architect
Civil Aviation Authority —Gatwick Airport
- Up to £70,000 a year
- Full-time
- Azure
- Presentation skills
- APIs
7d
Data Architect
Bestway Group —London
- Full-time
- Azure
- SQL
- AWS
- Annual leave
Quick apply
Solutions Architect, AWS Startups
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- Engineering
- System design
Solutions Architect, AWS Telco Business Unit
AWS EMEA SARL (UK Branch) —London
- Full-time
- Computer Science
- DevOps
- Engineering

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enterprise data architect jobs near norwood, gtl

Senior Architect AI

Liberty Global -
London

Apply Now

Job details

Full-time
1 hour ago

Qualifications

TensorFlow
Azure
Computer Science
Waterfall
Kubernetes
PyTorch
Kanban
Big data
Software deployment
DevOps
Engineering
Data analysis skills
System design
Google Cloud Platform
Network infrastructure
Java
Master's degree
Microservices
AWS
Docker
Bachelor's degree
Machine learning
Data management
Distributed systems
Data pipeline
Telecommunication
APIs
Agile
Kafka
Data science
Business requirements
AI
Communication skills
Data warehouse
Python

Full job description

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

Knowledge and Experience

Essential:

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, 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

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

Apply Now

Refine Your Search

enterprise data architect jobs in norwood, gtl

Senior Architect AI

Data Security Architect & Engineer - Consultant / Senior Consultant

Global IT Senior Director - Enterprise Architect for Data

Lead AI Tech Architect – Enterprise Solutions (ERP Transformation) - London | BCG Platinion

Technical Specialist, Claude Code

Enterprise AI Architect

Technology Architect - Infrastructure Architect (Capacity & Performance, Multi-Platform) - London/Warwick), UK

AI Solutions Architect - London | BCG Platinion

Principal Consultant-Oracle HRMS EBS Enterprise Architect UK

Global IT Enterprise Architect Senior Manager - GenAI

Enterprise Data Architect

Startup Solutions Architect, AWS Startups

Senior Data & AI Solutions Architect, Energy & Industrials, AGS Solutions Architecture Team

IT Systems Architect and Business Intelligence Lead

Senior Software Engineer II - Wise for Enterprise

Analytics Forward Deployed Engineer Principal

Solution Architect

Data Architect

Solutions Architect, AWS Startups

Solutions Architect, AWS Telco Business Unit

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