AI Engineering Manager

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