AI Enablement Architect (Contract)

This is a remote position.

Job Overview

Company creates worldclass 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 endtoend journeys for global fan communities built around iconic entertainment franchises. This multifunctional organization brings together expertise in fandom building interactive storytelling and thoughtful crosschannel engagement. Through culturally relevant content welldesigned journeys and meaningful fan care the team works to provide seamless and valuable experiencesboth 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 handson contract position focused on designing building prototyping and deploying productionready AI solutions. This is not a peoplemanager role and does not include direct reports.

You will work closely with crossfunctional teams to understand business objectives challenges and opportunities and apply modern AI technologies to improve efficiency decisionmaking 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 productionready 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 crossfunctional 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 fastmoving 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 /
  
• Proven handson 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 AIassisted development workflows
  

Preferred Qualifications (Nice to Have)

• Experience with AIassisted development tools such as Cursor Kiro or Claude Code
  
• Handson experience with:
  
• RetrievalAugmented Generation (RAG)
  
• Embeddings
  
• Vector databases
  
• Comfort working in a fastchanging startupstyle 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