About this role
AI Engineering Manager
Senior Infrastructure Delivery Manager
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 Skills & Experience Essential
• 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