Job Description This is a remote position.
Job Title: AI Enablement Architect (Contract) Contract Duration: 6 months or 12 months (high potential for extension) Location: Flexible Hybrid Role Type: Contract | Individual Contributor (No Direct Reports) Job Overview Company creates world-class entertainment experiences that inspire players and fans around the globe.
Creativity, diverse perspectives, and innovation are at the heart of everything we do, as we work together to build engaging, interactive experiences that connect communities worldwide.
The Experiences group focuses on delivering exceptional end-to-end journeys for global fan communities built around iconic entertainment franchises.
This multifunctional organization brings together expertise in fandom building, interactive storytelling, and thoughtful cross-channel engagement.
Through culturally relevant content, well-designed journeys, and meaningful fan care, the team works to provide seamless and valuable experiences—both within products and beyond them.
To support this mission, company continues to invest in innovation and emerging technologies.
Interactive entertainment is evolving rapidly, and AI plays a critical role in shaping the future by enabling teams to work more efficiently and deliver richer experiences for millions of fans.
Role Summary The AI Enablement Architect is a hands-on, contract position focused on designing, building, prototyping, and deploying production-ready AI solutions.
This is not a people-manager role and does not include direct reports.
You will work closely with cross-functional teams to understand business objectives, challenges, and opportunities, and apply modern AI technologies to improve efficiency, decision-making, and overall fan and employee experiences.
This role reports into senior leadership within the AI Enablement function and operates in a flexible hybrid model, with a team presence in Galway, Ireland.
Key Responsibilities Act as an AI evangelist, promoting AI as a force multiplier for growth, efficiency, and improved fan experiences Design, prototype, and deploy production-ready AI solutions using modern AI and machine learning technologies Stay current on emerging AI technologies and identify opportunities for transformation and efficiency gains Collaborate closely with cross-functional teams to understand business needs, challenges, and opportunities Apply AI solutions thoughtfully to business processes, systems, and workflows Innovate and drive transformation through novel applications of AI and change management Clearly and succinctly articulate complex technical concepts to senior stakeholders Work independently while contributing effectively in a collaborative, fast-moving environment Required Qualifications (Candidates will not be considered without these) 8+ years of experience as a software engineer, with openness to candidates who have progressed into an architect role Strong Python development experience (primary language) Working knowledge of JavaScript / Node.js Proven, hands-on experience with production AWS environments, including: Architecture and design Core AWS services Infrastructure as code CI/CD pipelines Demonstrated experience building and shipping AI systems, including: Agentic architectures AI APIs and/or Model Context Protocol (MCP) AI platforms or AI-assisted development workflows Preferred Qualifications (Nice to Have) Experience with AI-assisted development tools such as Cursor, Kiro, or Claude Code Hands-on experience with: Retrieval-Augmented Generation (RAG) Embeddings Vector databases Comfort working in a fast-changing, startup-style environment with minimal training Experience leading or mentoring others (formal or informal), while remaining an individual contributor Additional Technical Experience (Highly Relevant) Extensive experience architecting, developing, rapidly prototyping, and deploying robust production solutions Strong understanding of: Prompt and context engineering AI agents, tool calling, agentic architectures, and MCP Model tuning, evaluation, benchmarking, and guardrails Familiarity with: Observability and telemetry Microservices and enterprise architecture on AWS Awareness of the legal, ethical, and security considerations related to AI systems Ability to thrive when working both independently and collaboratively Requirements Python, node.Js, AWS, AI, mL