Enterprise Solution Architect - AI & Automation

ABOUT FLUTTER ENTERTAINMENT ​

Flutter Entertainment isn't just a business; we are the global heartbeat of sports betting and iGaming. With a massive $16.4Bn annual revenue and over 15.9 million monthly players, we operate iconic powerhouses like FanDuel, Paddy Power, and PokerStars.

Listed on the NYSE and recognized by TIME as one of the World's Best Companies 2025, we provide a world-class stage for leaders to make a global impact.

FLUTTER ENTERTAINMENT INDIA​

Our Global Capability Center (GCC) in Hi-Tech City, Hyderabad, is the engine room of our global growth. Here, a community of 1,000+ experts is redefining the future of entertainment. We don’t just follow industry standards—we set them.

ROLE OVERVIEW

• The Enterprise Solutions Architect – AI & Automation shapes and designs enterprise AI and automation solutions from concept through to executable architecture.

• The role combines strategic thought leadership, strong solution architecture and clear communication — challenging assumptions, identifying emerging opportunities and translating complex business problems into scalable, secure and pragmatic solutions.

• Working with Product, Engineering, Data and Delivery teams, the role establishes the right data, integration, security and governance foundations while accelerating delivery through reusable patterns, clear guardrails and well-defined solution approaches.

As part of the Enterprise Technology Architecture team, the Enterprise Solutions Architect – AI & Automation provides architectural leadership for the adoption and scaling of AI and automation across Enterprise Technology.

It will

• Shape the strategic direction and architecture for AI, agentic and automation capabilities.

• Design end-to-end solutions across AI, data, integration, security and enterprise platforms.

• Act as a strategic thought partner, challenging assumptions and influencing technology direction.

• Translate emerging AI capabilities into pragmatic, reusable enterprise patterns.

• Communicate complex issues clearly to both senior stakeholders and engineering teams.

• Use architecture to accelerate decision-making, reduce duplication and enable greater self-service.
   

ACCOUNTABILITIES & RESPONSIBILITIES

Architecture Leadership & Strategy

• Shape the target architecture and strategic direction for AI, agentic and automation capabilities across Enterprise Technology.

• Translate business and technology strategy into scalable, pragmatic solution architectures and roadmaps.

• Challenge assumptions, identify emerging opportunities and risks, and provide an independent architectural point of view.

• Ensure alignment with wider Enterprise Technology, Data and enterprise architecture strategy.

Solution, Data & Platform Architecture

• Lead the end-to-end architecture of AI and automation solutions across applications, data, integration, security and cloud platforms.

• Establish the data, integration and compliance foundations required for trusted and scalable AI.

• Define patterns for agent orchestration, enterprise system interaction, workflow automation and AI-enabled decisioning.

• Work with Engineering and Data teams to ensure designs are technically credible, implementable and operationally resilient.

Governance and Responsible AI

• Embed security, privacy, responsible AI and regulatory requirements into solution design from the outset.

• Establish reusable architecture patterns, guardrails and reference designs that enable teams to deliver safely at pace.

• Provide proportionate design assurance for AI and automation initiatives.

Delivery Enablement & Influence

• Partner with Product, Engineering, Data and Delivery leaders to shape solutions from concept through implementation.

• Accelerate delivery through clear decisions, reusable patterns and greater engineering self-service.

• Communicate complex architectural decisions clearly to both senior stakeholders and technical teams.

• Influence technology investment, vendor choices and roadmap priorities through architectural insight and business value.

Skills & Capabilities

• Strong solution architecture capability - able to translate complex business problems into scalable, secure and pragmatic AI and automation solutions.

• Strategic and independent thinker with the confidence to challenge assumptions, form a clear point of view and influence technology direction.

• Strong understanding of AI, agentic architectures, automation, data, integration and cloud-native solution patterns.

• Able to move fluently between strategic discussion and credible technical engagement with engineering and delivery teams.

• Strong understanding of data, security, privacy, governance and responsible AI as foundations for enterprise AI adoption.

• Clear and concise communicator, able to distil complex architectural problems into executive-ready narratives and actionable decisions.

• Strong influencing skills, able to bring teams on the journey while constructively challenging established approaches.

• Delivery-focused mindset, using architecture to accelerate decision-making, enable reuse and support greater engineering self-service.

• Demonstrates clear personal ownership and accountability for architectural decisions, outcomes and impact.

WHAT YOU WILL BRING

• Proven experience in solution or enterprise architecture within complex, multi-entity or global environments.

• Strong hands-on architecture experience designing enterprise AI and agentic solutions, including agent orchestration, tool integration, human oversight and, where appropriate, multi-agent patterns.

• Demonstrated experience taking AI-enabled solutions from concept through architecture into delivery, working closely with engineering and product teams.

• Strong technical understanding of data architecture, integration, APIs, event-driven patterns, cloud platforms and enterprise application ecosystems.

• Experience designing secure, resilient and compliant AI solutions, including data privacy, AI/model lifecycle governance, evaluation, observability, auditability and responsible AI controls.

• Evidence of independently shaping technology direction, challenging established approaches and influencing senior stakeholders.

• Experience creating reusable patterns, reference architectures or guardrails that accelerated delivery and improved engineering self-service.

• Experience delivering AI, automation or digital transformation initiatives with measurable business outcomes.

• Exposure to major cloud AI platforms and AI orchestration frameworks; AWS experience is desirable.

• Relevant architecture, cloud, integration or automation certifications are desirable but not essential.

WHY CHOOSE US

Flutter is an equal-opportunity employer and values the unique perspectives and experiences that everyone brings. Our message to colleagues and stakeholders is clear: everyone is welcome, and every voice matters. We have ambitious growth plans and for the future. Here's an opportunity for you to play a pivotal role in shaping the future of Flutter Entertainment India.