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Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.</p>\n<p>The EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims.</p>\n<p>As an AI Enablement Architect and Team Lead for the XO AI Labs team in the EA Experiences organization, you will be an innovator and creator of cutting-edge AI solutions, solutions that keep our fans at the center of everything we do. You will collaborate closely with teams across EA Experiences, developing an understanding of their business, their challenges, and their opportunities. You will rapidly create innovative AI solutions using cutting-edge AI technologies that drive growth, increase efficiency, and help our teams focus on what matters most, our fans.</p>\n<p>This is a hands-on leadership role focused on building and deploying production AI solutions for EA Experiences organization. You will report to the Senior Director, AI Enablement. This is a hybrid role based at our office in Galway, Ireland.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Inspire and lead AI-driven transformation by creating and deploying innovative solutions that drive efficiency, expansion, and transformation to scale impact, and reimagine our employee and fan experiences.</li>\n</ul>\n<ul>\n<li>Be an AI evangelist, promoting the use of AI as a force-multiplier, driver of growth, and method for improving our fans experiences</li>\n</ul>\n<ul>\n<li>Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation</li>\n</ul>\n<ul>\n<li>Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency</li>\n</ul>\n<ul>\n<li>Be a hands-on leader, collaborating with teams across EA Experiences to understand their business, their challenges, their opportunities, and create innovative solutions.</li>\n</ul>\n<ul>\n<li>Innovate, transform, and imagine what can be with the novel application of AI into business and related solutions. 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We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</p>\n<p>We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. 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Develop and lead AI first engineering processes to accelerate product, engineering, and delivery</li>\n</ul>\n<ul>\n<li>Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work.</li>\n</ul>\n<p>Your Qualifications:</p>\n<ul>\n<li>8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices.</li>\n</ul>\n<ul>\n<li>Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial.</li>\n</ul>\n<ul>\n<li>Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation.</li>\n</ul>\n<ul>\n<li>3+ years implementing AI solutions driving measurable business impact.</li>\n</ul>\n<ul>\n<li>Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails.</li>\n</ul>\n<ul>\n<li>Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines</li>\n</ul>\n<ul>\n<li>Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial</li>\n</ul>\n<ul>\n<li>Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines</li>\n</ul>\n<ul>\n<li>Experience navigating the legal, ethical, and security implications for AI, including data privacy, IP, safety, and responsible use of Generative AI.</li>\n</ul>\n<ul>\n<li>4+ years experience leading cross-functional teams and collaborate effectively with global teams</li>\n</ul>\n<ul>\n<li>Experience approaching a problem from different angles, analyzing pros and cons of different solutions, and analytical problem-solving skills, with the ability to reframe problems, explore multiple options, and land pragmatic, high-impact solutions.</li>\n</ul>\n<ul>\n<li>Excellent ability to clearly communicate complex concepts simply and clearly. 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