At a Glance
- Tasks: Lead the architectural vision for data platforms and AI capabilities that drive business innovation.
- Company: Join BT International, a leader in secure connectivity and digital services.
- Benefits: Enjoy tailored benefits, including private healthcare, generous leave, and a competitive pension scheme.
- Other info: Flexible working options across multiple countries and excellent career growth opportunities.
- Why this job: Make a global impact by shaping AI and data strategies in a dynamic environment.
- Qualifications: Proven experience in data architecture and AI systems, with strong coding skills.
The predicted salary is between 76662 - 93698 £ per year.
Job Description
- Job Function: Architecture Solution and Design
- Posting Start Date: 06/11/2026
- Posting End Date: 20/11/2026
- Division: BT International
- Job Location: GBR-London-BTHQ One Braham, HUN Budapest ONE, IND-Gurugram-IQ
- Advertised Salary: Competitive
Please be noted that the role will be flexibile to be considered to be based in UK, Hungary, India or other European countries.
About the role
The Data and AI Architect Principal is central to BT International's ability to compete in an increasingly data- and AI-driven market.
The role owns the architectural vision for data platforms and AI capabilities that directly affect business intelligence, operational efficiency and product innovation.
The architect ensures that data and AI architectural decisions drive business value and enable product velocity.
The position leads data platform modernisation, establishes MLOps practices and collaborates with senior stakeholders.
By aligning data and AI architecture with business imperatives and Group strategy, the role helps BT International remain competitive, agile and customer-focused in a rapidly evolving global landscape.
- What you'll be doing
- Define and lead the data and AI platform architecture strategy, establishing patterns that balance functional requirements with scalability, data quality, privacy and cost optimisation.
- Work closely with product engineering squads to establish data-generation patterns and build data-informed products and AI capabilities.
- Set the architectural strategy for making data available across the organisation through self-service data products, APIs and governed access patterns.
- Lead the technical vision for AI capabilities, distinguishing between machine learning for pattern recognition and agentic AI for autonomous task execution, and establish platform foundations for both.
- Champion data mesh principles where appropriate, enabling domain teams to own their data as products while maintaining consistency through federated governance.
- Establish MLOps practices and platforms that allow product teams to train, deploy and monitor machine learning models with the same velocity as application code.
- Collaborate with IT Systems and Naa S architects to ensure telemetry, network data and business systems generate high-quality data with appropriate lineage and governance.
- Work across multi-vendor environments, including cloud data platforms, on-premises data systems and Saa S analytics tools, to establish a cohesive data architecture.
- Drive architectural governance for data and AI work, ensuring solutions follow platform patterns for data quality, model governance and AI safety.
- Provide technical thought leadership on emerging data and AI technologies, evaluating their applicability and translating possibilities into roadmaps aligned with BT International's platform strategy.
- Mentor architects and engineers, fostering architectural thinking and technical leadership across the architecture and product engineering organisations.
Essential Skills / Experience
- Strategic architecture leadership - Proven ability to define a data and AI platform vision, with a track record of driving large-scale data transformation programmes.
- Data platform architecture - Deep expertise in modern data platform design, including data lakes, data warehouses, streaming architectures and data mesh patterns.
- AI and ML architecture - Strong understanding of machine learning systems, including feature engineering, model training, serving, monitoring and MLOps platforms.
- Technical depth - Hands-on coding capability in data languages such as Python, SQL and Spark, enabling credibility with engineering teams and active participation in data work.
- Data engineering patterns - Strong understanding of ETL and ELT patterns, data quality frameworks, schema evolution and data lineage tracking.
- Cloud-native data - Experience with cloud data services and platforms across multi-vendor environments, including data warehouses, data lakes and ML platforms.
- Platform engineering mindset - Ability to treat data and AI capabilities as platform products with clear service contracts and a strong developer-experience focus.
- Engineering background - Hands-on experience in data engineering or ML engineering, demonstrated through active contribution to data platforms and AI implementations.
- Enterprise-scale platforms - Extensive experience designing and building data platforms in large enterprise or telecommunications environments, including data ingestion, processing and analytics at scale.
- Production AI and ML - Proven track record of implementing AI and ML capabilities in production, including MLOps practices, model-serving infrastructure and support for data-science team autonomy.
- Product engineering collaboration - Significant experience working closely with product engineering teams to establish data-generation and consumption patterns.
- Modern data stack - Strong background in modern data-stack technologies, including cloud data warehouses, data-processing frameworks and ML platforms.
- Governance and compliance - Experience with data governance, privacy and regulatory compliance, balancing data accessibility with security requirements.
- Technology evaluation - Demonstrated success in evaluating emerging AI technologies and translating technical possibilities into practical implementations.
- Agentic AI - Emerging expertise in agentic AI systems, including LLM-based agents, tool use and reasoning frameworks for autonomous task execution.
- Our Package
Tailored benefits make a real difference.
That’s why we offer a comprehensive range to support your growth, wellbeing, and everyday life.
You can design the package to suit you and your lifestyle.
Your core benefits include
- Company car scheme (or cash alternative)
- 15% on target annual bonus
- Private healthcare for you and your family
- Access to an online private GP 24/7 for you and your immediate family
- Market-leading paid carers leave with up to 2 weeks off
- Equalised maternity, paternity, and adoption leave - 18 weeks’ full pay and 8 weeks’ half pay
- Discounted EE and BT products, including mobile and broadband
- Market leading Pension scheme - 5% from you and 10% from us
- Holiday purchase scheme
You can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.
At BT International, our purpose is to keep the world connected.
As part of BT, we build on almost 180 years of innovation and expertise to deliver secure connectivity and digital services to some of the world’s leading multinational businesses and organisations.
Our customers trust us to safeguard their data, drive their digital transformation and keep their businesses running.
With colleagues on the ground across the world and supporting customers wherever they need to operate, BT International offers a truly global experience.
Whether it’s about providing cloud connectivity, helping organisations collaborate, or enabling innovation in cybersecurity and digital services, you'll be part of a team that shapes how businesses succeed in a world that is being transformed by AI.
If you have the drive and ambition to make an impact on a global stage, BT International is where it happens.
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Data & AI Architect Principal employer: BT Plc.
BT Group is an exceptional employer, offering a dynamic work environment in vibrant cities like Birmingham, Bristol, and London. With a strong focus on employee growth, flexible working arrangements, and a comprehensive benefits package, including private healthcare and generous parental leave, BT fosters a culture of collaboration and innovation. As a Senior Manager in Pricing & Regulatory, you'll have the opportunity to lead impactful initiatives while being supported by a diverse team dedicated to customer fairness and commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Architect Principal
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Data & AI Architect Principal
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 BT Plc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at BT Plc. 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 BT Plc.
✨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 BT Plc. 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.