You will be an innovator of AI solutions, understanding the future of AI technologies, how they can provide transformation and efficiency opportunities for the EA Experiences organization, and rapidly prototype and deploy the most promising capabilities. You will report to and collaborate closely with the Head of AI Enablement for EA Experiences and collaborate closely with a global team across Europe, North America, and Southeast Asia. This role will define requirements, rapidly prototype, iterate with stakeholders, and establish reusable architectures, standards, and patterns using the latest AI engineering methodologies, models, tools, and platforms. You're creative, innovative, self‑motivated, and team‑first, equally strong at problem‑solving and collaborating across creative, product, marketing, data, and engineering teams. You and your team will be hands‑on creating and implementing scalable solutions and workflows that enable teams to spend more time on high‑value, creative, and strategic work and drive significant revenue for EA. You will be a hybrid worker, collaborating with teams 3 days a week from the office; international travel to collaborate with global teams is an added bonus. Responsibilities Deeply understand the future of Generative AI technologies, with a strong grasp of traditional AI and ML Rapidly prototype and creatively innovative solutions that drive significant increases in player engagement, expansion of EA’s core business, and efficiency opportunities Design and implement GenAI-native solutions and multi‑agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment. Drive AI‑enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on‑brand and fan‑first. Productionize and integrate AI systems: Own the path from prototype to production—integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines. Drive adoption of new GenAI based architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi‑agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams. Partner and co‑create with cross‑functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high‑value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals. Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery. 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. Qualifications 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices. Hands‑on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation. 3+ years implementing AI solutions driving measurable business impact. 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. Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines. Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial. Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines. Benefits 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. We nurture environments where our teams can always bring their best to what they do. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. #J-18808-Ljbffr
Electronic Arts in Galway, Ireland, is looking for an experienced innovator in AI solutions. The role focuses on understanding and deploying AI technologies to enhance user engagement and operational efficiency. Responsibilities include prototyping Generative AI solutions and collaborating with cross-functional teams. Key qualifications include over 8 years in production solutions and hands-on experience with AI technologies such as AWS and Kiro. The position supports hybrid work and offers a variety of benefits for a balanced life. #J-18808-Ljbffr
A leading gaming company is looking for an AI Enablement Architect and Team Lead for their AI Labs team in Galway. In this hybrid role, you will lead AI-driven transformation and innovate cutting-edge solutions to enhance fan experiences. The ideal candidate should have over 8 years of experience in architecting AI solutions, including a strong understanding of software engineering, AWS, and critical thinking skills. Benefits include healthcare coverage, retirement savings, and wellness programs. #J-18808-Ljbffr
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, keeping our fans at the center of everything we do. This is a hybrid role based at our office in Galway, Ireland. Responsibilities Instill and lead AI‑driven transformation by creating and deploying innovative solutions. Promote AI as a force‑multiplier, driver of growth, and method for improving fan experiences. Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation. Have a deep understanding of AI technologies and solutions, focusing on integration into business processes and systems. Lead hands‑on collaborations with teams across EA Experiences to understand their business, challenges, and opportunities, and create innovative solutions. Innovate, transform, and imagine what can be with novel applications of AI, driving organizational transformation and change management. Clearly and succinctly articulate complex concepts at a senior level. Qualifications 8+ years of experience architecting, developing, rapidly prototyping, and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices. Extensive experience with spec‑driven development and agentic AI software engineering solutions such as Kiro, Cursor, and Claude Code. Extensive experience engineering AI solutions and excellent working knowledge of prompt and context engineering, AI agents, agentic architectures, tool calling, Model Context Protocol (MCP). Experience with AI assistants, RAG, embeddings, and vector databases. Model tuning, evaluation, benchmarking, and guardrails. Experience in content creation, data analytics, and business transformation is highly beneficial. Comprehensive understanding of AWS services, architecture, and design principles, including enterprise architecture, microservices design, observability, telemetry, infrastructure as code, and CI/CD. Experience navigating the legal, ethical, and security implications for AI. Ability to work collaboratively and independently. Excellent creative, critical thinking, and problem‑solving skills. Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial. Benefits Healthcare coverage, mental well‑being support, retirement savings, paid time off, family leaves. Complimentary games and other wellness programs. Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. Electronic Arts also makes workplace accommodations for qualified individuals with disabilities as required by applicable law. #J-18808-Ljbffr
