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 working, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
- Why this job: Shape the future of AI and make a real impact on technology.
- Qualifications: Experience in backend/full stack development and leading engineering teams.
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
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 Platform Engineering Lead — Build Enterprise-Grade AI 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 the AI Platform Engineering Lead, you will have the unique opportunity to shape a cutting-edge AI platform while leading a talented engineering team in a supportive environment that prioritises professional growth and continuous improvement. With a focus on high-quality delivery and responsible AI practices, our commitment to employee development and a culture of ownership makes us an attractive choice for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineering Lead — Build Enterprise-Grade AI
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and engineering space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. 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 makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience in building scalable AI systems and leading engineering teams.
We think you need these skills to ace AI Platform Engineering Lead — Build Enterprise-Grade AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your leadership in engineering and any experience with AI platforms, as this is what we’re really looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about building enterprise-grade AI systems. Share specific examples of your past achievements in leading teams and delivering complex projects.
Showcase Your Technical Skills:Don’t forget to mention your hands-on experience with AWS and cloud-native applications. We want to see how you’ve applied your technical knowledge in real-world scenarios, especially in AI and platform engineering.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application 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, microservices architecture, and AI/ML systems to show you can lead a high-performing engineering team.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading engineering teams and delivering complex systems. Be ready to discuss how you've driven a culture of ownership and quality in previous roles, as this is crucial for the position.
✨Understand the Business Impact
Familiarise yourself with how AI capabilities can transform business operations. Be prepared to discuss how you would translate use cases into deliverable outcomes, ensuring you align your technical expertise with the company’s strategic goals.
✨Emphasise Collaboration
This role requires working closely with various teams, so be ready to talk about your experience in cross-functional collaboration. Share specific instances where you’ve successfully partnered with product, business analysis, or engagement teams to drive project success.
