At a Glance
- Tasks: Lead a high-performing engineering team to build an enterprise-grade AI platform.
- Company: Join Flutter UK & Ireland, a leader in innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a strategic programme with excellent career advancement opportunities.
- Why this job: Shape the future of AI while making a real impact in a dynamic environment.
- Qualifications: Strong experience in backend or full stack development and team leadership.
The predicted salary is between 80000 - 100000 £ per year.
This is a critical leadership role within the Flutter UK & Ireland AI Platform initiative. The AI Engineering Team Manager will be responsible for building and leading a high‑performing engineering squad across multiple locations, focused on delivering core components of a multi‑tenant, enterprise‑grade AI platform. This platform will underpin the next generation of AI capabilities across the business — from internal assistants (e.g. Flint) through to advanced agentic systems and domain‑specific AI services.
You will combine hands‑on technical leadership with people leadership, ensuring high‑quality engineering delivery while shaping best practices for building scalable, secure, and production‑ready AI systems on AWS.
Key Responsibilities- Engineering Leadership
- Build, lead, and develop a cross‑functional engineering team (backend / full stack)
- Set engineering standards, patterns, and ways of working aligned to platform‑first principles
- Drive a culture of ownership, quality, and continuous improvement
- Platform Delivery
- Lead the design and delivery of core AI platform services (APIs, orchestration layers, integration services)
- Contribute to the development of a multi‑tenant AI control plane with built‑in governance, security, and observability
- Ensure solutions are scalable, reusable, and aligned to enterprise architecture standards
- Technical Direction
- Provide hands‑on guidance across system design, architecture, and implementation
- Partner with Architecture, Security, and Platform teams to ensure alignment with AWS best practices (incl. Bedrock and cloud‑native services)
- Support design reviews and contribute to Technical Design Authority (TDA) processes
- AI & Emerging Technology
- Enable the team to build AI‑powered services, including LLM integrations, agent frameworks, and retrieval‑based systems
- Ensure responsible AI practices are embedded (guardrails, auditability, data controls)
- Delivery & Collaboration
- Work closely with Product, Business Analysis, and Engagement teams to translate use cases into deliverable outcomes
- Support iterative MVP delivery, balancing speed with long‑term platform integrity
- Collaborate across UK&I and International teams to drive consistency and reuse
- Strong experience as a senior or lead engineer in backend or full stack development
- Proven experience leading engineering teams and delivering complex distributed systems
- Experience building cloud‑native applications on AWS (e.g. Lambda, API Gateway, ECS, DynamoDB, etc.)
- Strong understanding of system design, APIs, and microservices architecture
- Experience working in agile environments with modern engineering practices
- Experience working with AI/ML systems or integrating with LLMs (e.g. Amazon Bedrock or similar)
- Knowledge of multi‑tenant architectures and platform engineering concepts
- Experience with observability, security, and governance in enterprise systems
- Familiarity with event‑driven architectures and data pipelines
- Opportunity to shape and build a greenfield AI platform at enterprise scale
- Direct impact on how AI is delivered across Flutter UK & Ireland
- Work at the intersection of platform engineering, AI, and product innovation
- Build and lead a team in a high‑visibility, strategically critical programme
- Successful build and growth of a high‑performing engineering team
- Delivery of scalable, reusable AI platform components
- Adoption of platform services across multiple teams and use cases
- High standards of engineering quality, security, and reliability
AI Platform Engineering Lead — Build Enterprise-Grade AI in London employer: Flutter Uk & Ireland
Join Flutter UK & Ireland, the world's largest sports betting and iGaming company, where innovation meets a vibrant work culture. As a Lead Data Scientist, you'll thrive in a collaborative environment that champions personal growth, offering flexible working arrangements, a generous learning fund, and unlimited holiday. With a focus on employee wellbeing and a commitment to diversity, we empower you to drive impactful pricing strategies while enjoying unique benefits like private healthcare and paid volunteering time.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineering Lead — Build Enterprise-Grade AI in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI or platform engineering. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and cloud-native applications. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your experience with AWS, system design, and how you've led teams in the past. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and passion for building enterprise-grade AI platforms.
We think you need these skills to ace AI Platform Engineering Lead — Build Enterprise-Grade AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Platform Engineering Lead role. Highlight your leadership experience and any relevant projects you've worked on, especially those involving AWS and AI technologies.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building enterprise-grade AI platforms. Share specific examples of how you've led teams or delivered complex systems, and don’t forget to mention your approach to fostering a culture of quality and continuous improvement.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise in backend or full stack development. Mention any experience you have with cloud-native applications, microservices architecture, and AI/ML systems to demonstrate your fit for the role.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application is reviewed promptly and you’ll be considered for this exciting opportunity to shape the future of AI at Flutter UK & Ireland!
How to prepare for a job interview at Flutter Uk & Ireland
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS services like Lambda and API Gateway. Brush up on your knowledge of system design and microservices architecture, as these will likely come up during technical discussions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading engineering teams. Think about how you've driven a culture of ownership and quality in past roles. Be ready to discuss how you’ve set engineering standards and fostered continuous improvement within your team.
✨Understand the AI Landscape
Familiarise yourself with AI and ML systems, particularly any experience you have with LLMs or platforms like Amazon Bedrock. Be prepared to discuss how you can integrate these technologies into scalable solutions and ensure responsible AI practices.
✨Collaborate and Communicate
Since this role involves working closely with various teams, think about how you can demonstrate your collaboration skills. Prepare to discuss how you’ve translated complex use cases into deliverable outcomes and how you balance speed with long-term platform integrity.
