AI Architect – Remote (Ireland)

About the role

This role leads the design, creation, and deployment of AI‑powered solutions that transform content creation, data and analytics, and core business processes for interactive entertainment experiences. As a hands‑on AI architect and engineer, you will build AI‑native platforms and workflows using advanced models and agentic systems, enabling teams to focus on high‑value creative and strategic work.

Key responsibilities

• Architect end‑to‑end AI‑native solutions and multi‑agent workflows from concept to production deployment.
• Design, build, and evolve AI pipelines, assistants, and tools for creative, marketing, and franchise teams to generate and optimise image, video, copy, and interactive content at scale.
• Lead the creation of data lakes, vector stores, knowledge bases, and knowledge graphs to power intelligent assistants.
• Own the path from prototype to production, integrating AI systems with existing platforms and defining observability, reliability, and performance baselines.
• Embed guardrails, safety mechanisms, and governance frameworks addressing IP, privacy, security, safety, and bias.
• Create reusable reference architectures, design patterns, SDKs, and templates for agents, RAG, and integrations with LLM, vision, and diffusion models.
• Partner with cross‑functional teams to identify high‑value AI opportunities and ensure solutions are scalable and aligned with business goals.
• Lead experimentation cycles, define success metrics, analyse performance, and continuously refine models, prompts, and workflows.

Required profile

• Hands‑on AI architect/engineer with experience delivering production‑grade AI solutions.
• Proven ability to work closely with creative, product, marketing, data, engineering, operations, and legal teams.
• Strong track record of moving prototypes to scalable production systems.
• Experience embedding safety, governance, and bias mitigation mechanisms in AI products.
• Ability to evangelise AI best practices, host demos, and coach teams on advanced AI technologies.

Required skills

• AI pipelines and workflow orchestration
• Large Language Models (LLM)
• Vision and diffusion models
• Retrieval‑augmented generation (RAG)
• Vector stores and knowledge graphs
• Data lakes and knowledge bases
• SDK development and reusable architecture patterns