AI Engineering Lead

About Flutter Entertainment Flutter Entertainment is the world’s largest sports betting and iGaming operator with 15.9 million Average Monthly Players worldwide and an annual revenue of $16.4 billion in 2025. We have a portfolio of iconic brands , including FanDuel, Paddy Power, Betfair, PokerStars, Sisal, and Sportsbet.

Flutter Entertainment is listed on the New York Stock Exchange (NYSE). We’re proud to be recognized by TIME as one of the World’s Best Companies 2025 — a reflection of the passion and commitment of our colleagues across the globe.

FLUTTER ENTERTAINMENT INDIA Our office in the heart of Hi-Tech City , Hyderabad, serves as Flutter Entertainment’s Global Capability Center (GCC). Now home to 1,000+ talented colleagues, we are shaping the future of entertainment across critical areas such as Customer Support Operations, Data & Technology, Business Operations (Finance, HR, Procurement), and HR Tech & Analytics.

Our Values define us. They are - Build Better Together, Own Every Outcome, Stay Curious and Grow, and Raise the Bar Every day. They’re how we collaborate, grow, lead, and show up for each other every single day.

Overview Of The Role Flutter Functions’ AI & Automation team is looking for an expert AI Engineering Lead to build and lead a unit of 2–3 AI developers. You will be responsible for the technical vision and execution of Flutter’s enterprise AI assistant and agent platforms , using internal data to enhance productivity and decision-making across our global sports betting and gaming operations.

This is a hands-on technical leadership role combining AI engineering, architecture, people leadership and cross-functional teamwork . You will shape engineering standards, make key architectural decisions, mentor your team, and help deliver production-grade AI systems serving over 20 million customers across 20+ regulated markets.

What You Will Do Technical Leadership & Architecture

• Set the technical direction for our enterprise AI assistant and agent platforms, making architectural decisions across LLM inference, agentic frameworks, context engineering, guardrails and system design .
• Own the selection, deployment and optimisation of LLM inference systems including AWS Bedrock and LiteLLM , with a focus on model routing, cost, latency and operational excellence.
• Design production-grade context pipelines, RAG systems and prompt architectures , establishing patterns, standards and evaluation practices for the team.
• Guide architectural decisions around token economics, context limits, latency budgets and capability-to-cost trade-offs .
• Establish robust guardrails, security and Responsible AI practices , addressing prompt injection, data leakage, authentication, access control and sensitive data handling across regulated markets.
• Make informed technology choices across agentic frameworks such as LangChain, LangGraph, Strands and ADK , and establish scalable orchestration and tool-use patterns.
• Own problems end-to-end, from LLM integration and backend services through to user-facing interfaces, APIs and integrations using AWS services, MCP and modern engineering standards .

People Leadership

• Build, lead and mentor a pod of 2–3 AI developers , supporting their technical and career growth.
• Establish engineering standards through code reviews, architectural guidance and continuous technical development .
• Lead the team through production incidents, complex technical challenges and post-mortems, driving systemic improvements.
• Develop a culture of learning, experimentation, psychological safety and continuous improvement , while encouraging the team to challenge assumptions and take calculated technical risks.

Collaboration & Delivery

• Partner with product managers and business stakeholders to translate business requirements into scalable technical solutions and prioritise high-impact work.
• Collaborate with data scientists and platform engineering teams to integrate AI solutions into Flutter’s existing infrastructure.
• Communicate complex AI concepts clearly to technical and non-technical audiences, present architectural decisions to leadership, and influence technical direction across teams.

TO EXCEL IN THIS ROLE, YOU WILL NEED Core Requirements

• Bachelor’s degree in Computer Science, AI or a related STEM field , with 8–12 years of software development experie…