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
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