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.

YOU 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 AND CAPABILITIES REQUIRED

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

• Strategic, independent thinking 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.

• Ability to move fluently between strategic discussions 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.