Ai engineering manager

AI Engineering ManagerSenior Infrastructure Delivery ManagerTeam: 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