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AI Engineering Manager
Flutter Entertainment —Dublin, County Dublin
- System design
- Master's degree
- AWS
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WSP —Dublin, County Dublin
- Part-time
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- Gym membership
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Senior CT Radiographer
Blackrock Health Hermitage Clinic —Lucan, County Dublin
- Full-time
- Clinic
- Bachelor's degree
- Communication skills
- Free parking
- Employee assistance program
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3d

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AI Engineering Manager

Flutter Entertainment -
Dublin, County Dublin

Apply Now

Job details

Qualifications

Law
System design
Master's degree
Microservices
AWS
Distributed systems
Agile
DynamoDB
AI

Full job description

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

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