Job Description

AI Engineering Manager - Flutter UKI, HybridSenior Infrastructure Delivery Manager

About Betfair Romania Development​:

Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming.

Our Values:

The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.

Win together | Raise the bar | Got your back | Own it | Positive impact

About Flutter UKI:

Flutter UK & Ireland are the UKI region of Flutter Entertainment. They unite a dozen brands, including powerhouses Paddy Power, Betfair, Tombola and Sky Betting & Gaming, bringing together hundreds of teams and thousands of colleagues, who create trusted entertainment for millions of customers every week.

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

Benefits:

• Hybrid & remote working options
• €1,000 per year for self-development
• Company share scheme
• 25 days of annual leave per year
• 20 days per year to work abroad
• 5 personal days/year
• Flexible benefits: travel, sports, hobbies
• Extended health, dental and travel insurances
• Customized well-being programmes
• Career growth sessions
• Thousands of online courses through Udemy
• A variety of engaging office events

Disclaimer:

We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.

We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.

By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.