At a Glance
- Tasks: Lead a dynamic engineering team to build an innovative AI platform.
- Company: Join Flutter, a leader in AI technology and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a high-visibility project with excellent career advancement potential.
- Why this job: Shape the future of AI while making a real impact across the business.
- Qualifications: Experience in backend/full stack development and leading engineering teams.
The predicted salary is between 80000 - 100000 £ per year.
Team: UKI Platform & Enablement – AI Platform
Role Overview
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
Essential Skills & Experience
- 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
Desirable
- 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
Why This Role
- 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
Success Measures
- 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 Engineering Manager employer: Flutter Uk & Ireland
At Flutter UK & Ireland, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an AI Engineering Manager, you will have the unique opportunity to lead a talented team in building a cutting-edge AI platform, while benefiting from our commitment to employee growth through continuous learning and development. Our inclusive environment encourages ownership and creativity, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience and technical chops.
✨Tip Number 3
Prepare for those tricky questions! Research common interview questions for AI Engineering Managers and practice your responses. We want you to feel confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineering Manager role. Highlight your leadership experience and technical expertise in cloud-native applications, especially on AWS.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you the perfect fit for leading our engineering team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills:In your application, don’t shy away from detailing your hands-on experience with system design, APIs, and microservices architecture. We want to see how you've applied these skills in real-world scenarios, especially in agile environments.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to shape our AI platform!
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, APIs, 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 and delivering complex systems. Think about how you've built a culture of ownership and quality in previous roles, and be ready to discuss specific strategies you used to foster continuous improvement.
✨Understand AI and Emerging Technologies
Since this role involves AI-powered services, it’s crucial to demonstrate your understanding of AI/ML systems and responsible AI practices. Be prepared to discuss any relevant projects or experiences you have with LLM integrations or multi-tenant architectures.
✨Collaborate and Communicate
This position requires working closely with various teams, so practice articulating how you’ve successfully collaborated in the past. Think of examples where you translated complex technical concepts into deliverable outcomes for non-technical stakeholders, showcasing your ability to bridge gaps between teams.
