Director & Architect, AI Innovations - EA Experiences

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 organisation, and rapidly prototype and deploy the most promising capabilities.

As a Director & Architect, AI Innovations, 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.

Responsibilities:

• Deeply understand the future of Generative AI technologies, with a strong grasp of traditional AI and ML
• Rapidly prototype and creative 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 organisation: 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.
• Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial.
• 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