At a Glance
- Tasks: Design and build AI platforms for scalable software delivery and improve developer experiences.
- Company: Join Vodafone Intelligent Solutions, a leader in innovative tech solutions.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and encourages all to apply.
- Why this job: Make an impact in AI development while collaborating with top tech professionals.
- Qualifications: 7+ years in software or platform engineering with a passion for AI technologies.
The predicted salary is between 74250 - 90750 £ per year.
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth.
About This Role
Location: Newbury or Paddington (hybrid)
We are seeking an AI Platform Engineer to design, build and evolve the engineering platforms, automation capabilities and developer experiences that enable AI-native software delivery at scale. This role is ideal for individuals with strong software and platform engineering expertise who are passionate about improving engineering productivity, software quality and delivery outcomes across multiple teams. The successful candidate will help create secure, scalable and reusable engineering capabilities that support the safe adoption of AI-assisted software development practices throughout the software development lifecycle.
What You’ll Do
- Design, build and maintain engineering platform capabilities that enable AI-native software delivery at scale
- Develop reusable delivery controls, templates, pipelines, automation and engineering accelerators
- Embed automated validation, quality checks and secure defaults directly into software delivery workflows
- Build and evolve reusable patterns that support the safe and scalable adoption of AI-assisted development
- Improve developer experience through streamlined workflows, tooling integration and self-service capabilities
- Develop observability and measurement capabilities to provide insights into engineering productivity, quality and platform adoption
- Collaborate with Technical Leads and AI Software Engineers to identify recurring engineering challenges and implement platform-based solutions
- Enable responsible use of AI-generated code, testing, documentation and engineering artefacts through automated validation
- Drive continuous improvement across CI/CD pipelines, automated testing, security scanning and deployment processes
- Ensure platform capabilities remain secure, scalable, maintainable and operationally resilient
- Evaluate emerging AI engineering tools and recommend adoption where appropriate
- Contribute to engineering standards, platform roadmaps and developer enablement initiatives
Who You Are
- Experienced professional with 7+ years of software engineering, platform engineering or developer tooling experience
- Skilled in designing and operating developer platforms, CI/CD capabilities and engineering automation solutions
- Strong understanding of cloud-native architectures, distributed systems and modern software delivery practices
- Experience building reusable platform capabilities that improve developer productivity and software quality
- Familiarity with AI-assisted software development tools and engineering automation practices
- Good knowledge of AI technologies including models, agents, evaluation frameworks and automated validation tooling
- Understanding of LLM cost optimisation, including token monitoring, caching strategies and model selection considerations
- Knowledge of approaches for managing and reducing token consumption costs
- Deep understanding of observability, automated testing and software delivery tooling
- Knowledge of platform security, governance and operational controls
- Strong programming, automation and problem-solving capabilities
- Passionate about improving developer experience and engineering effectiveness
- Able to apply systems thinking to solve organisational engineering challenges through reusable solutions
- Effective communicator who can collaborate with engineering teams, technical leaders and platform stakeholders
Not a perfect fit? Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
Join Us
At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
AI Platform Engineer in London employer: VOIS
Vodafone is an exceptional employer, offering a dynamic and collaborative work environment in London, Paddington, where innovation and continuous improvement are at the forefront of our mission. As a Principal AI Platform Engineer, you will have the unique opportunity to shape high-impact platform transformations while working with cutting-edge AI technologies, all within a culture that values diversity and supports employee growth through mentorship and cross-functional leadership. Join us to influence strategic decisions and enhance developer productivity in a role that promises both meaningful challenges and rewarding experiences.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer in London
✨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 VOIS 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 VOIS.
✨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 VOIS.
✨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 VOIS 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 AI Platform Engineer in London
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 VOIS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at VOIS 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 VOIS
✨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 VOIS 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.
