Company
AIEngineeringManager
Neural analysis suggests this role is
optimal for Senior candidates.
“AI Engineering Manager. Skills: AI Platform, Engineering Leadership, Cloud-native services. Build engineering team. Lead engineering team”
What You'll Achieve.
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
What They're Looking For.
Must Have
senior or lead engineer in backend or full stack development, leading engineering teams, delivering complex distributed systems, building cloud-native applications on AWS, system design, APIs, microservices architecture, agile environments, modern engineering practices
Nice to Have
working with AI/ML systems, integrating with LLMs, Amazon Bedrock, multi-tenant architectures, platform engineering concepts, observability, security, governance in enterprise systems, event-driven architectures, data pipelines
What You'll Do.
Build engineering team
Lead engineering team
Develop engineering team
Set engineering standards
Drive culture of ownership
Lead platform services design
Lead platform services delivery
Contribute to AI control plane
Ensure scalable solutions
Provide technical guidance
Support design reviews
Enable AI services build
Ensure responsible AI practices
Work with Product teams
Collaborate across teams
How You'll Work.
Team & Collaboration
leading a high-performing engineering squad across multiple locations; Partner with Architecture, Security, and Platform teams; Work closely with Product, Business Analysis, and Engagement teams; Collaborate across UK&I and International teams
Process & Methodology
iterative MVP delivery
Full Job Description
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 pr
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