Full-Time

AI Architect

Updated on 9/12/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Dublin, Ireland

Hybrid

At least three days per week in the local office or onsite with clients.

Category
AI & Machine Learning
Required Skills
LLM
Microsoft Azure
RAG
AWS
Google Cloud Platform
Requirements
  • Professional experience in software engineering, architecture, or technical design, with a track record of contributing to design decisions.
  • Professional experience designing or contributing to system architecture, including integration patterns, component decomposition, and technology selection.
  • Understanding of cloud-native architecture across AWS, Azure, and GCP.
  • Hands-on experience with AI coding platforms and copilots such as GitHub Copilot, Claude Code, Cursor, or similar tools, and the modern languages they support.
  • Ability to present technical recommendations to engineers and senior stakeholders.
  • Ability to evaluate new technology quickly and form a clear architectural opinion.
Responsibilities
  • Own areas of the AI platform architecture, including designing how AI capabilities fit together and integrate with Marsh's existing technology landscape.
  • Drive technology evaluation by identifying emerging AI technologies for proof-of-concept work and defining success criteria.
  • Collaborate on focused proofs of concept with a software engineer, owning integration patterns, deployment topology, and alignment with the broader roadmap.
  • Build and maintain high-level integration diagrams, reference architectures, and technology radar documents.
  • Produce architecture documentation in formats useful to human engineers and AI coding agents.
  • Present at and contribute to the agenda of Marsh's Architecture Council, Dev Council, and business unit forums.
  • Understand Marsh's existing enterprise architecture and design integration patterns that work with the current technology landscape.
  • Coach peers and share architectural thinking and domain knowledge with colleagues in the AI Center of Excellence.
Desired Qualifications
  • Professional experience with AI/ML technologies, including integrating, deploying, or architecting systems using LLMs, retrieval-augmented generation, embeddings, or agent frameworks.
  • Familiarity with enterprise architecture and managing technology change in large organizations.
  • Experience with architecture documentation approaches suitable for AI agents and human engineers.
  • Cloud architecture certifications such as AWS Solutions Architect or Azure Solutions Architect.
  • Experience presenting at internal architecture forums, technical talks, or external conferences.

Marsh, formerly Marsh McLennan, is a global professional services firm focused on risk, insurance, reinsurance, talent and business strategy. Its operating businesses help organizations arrange coverage, model and transfer risk, design workforce programs and address complex management questions. Clients range from growing companies to governments and multinational enterprises. The group combines advisory expertise with insurance-market access and data, making it broader than an insurance broker alone while remaining primarily a business-to-business services organization.

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