Full-Time

AI Analyst

Architecture

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.

Bachelor's, Master's

Category
AI & Machine Learning
Required Skills
LLM
Microsoft Azure
Machine Learning
RAG
AWS
Google Cloud Platform
Requirements
  • A Bachelor's degree in computer science, software engineering, data science, information systems, or a related discipline is required; a Master's degree is preferred.
  • Up to 2 years of professional experience, including internships and placements.
  • Genuine interest in system design and architecture.
  • Familiarity with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform.
  • Hands-on comfort with artificial intelligence coding platforms and copilots such as GitHub Copilot, Claude Code, Cursor, or similar tools, and the modern languages they support.
  • Strong communication skills in writing and in person.
Responsibilities
  • Contribute to artificial intelligence platform architecture by helping design how artificial intelligence capabilities fit together across Marsh's technology landscape.
  • Identify emerging artificial intelligence technologies, including large language models, memory systems, agentic frameworks, and guardrails, for evaluation and recommend candidates for proofs of concept.
  • Collaborate with a software engineer on focused proofs of concept, contributing the architecture perspective on technology integration and future direction.
  • Build high-level integration diagrams, reference architectures, and technology radar documents to guide artificial intelligence adoption across the business.
  • Produce architecture documentation in formats useful to human engineers and artificial intelligence coding agents.
  • Contribute to presentations at Marsh's Architecture Council, Dev Council, and business unit forums.
  • Learn Marsh's existing enterprise architecture so recommendations account for the current technology landscape.
  • Help shape ways of working, documentation standards, and team culture as the artificial intelligence Center of Excellence grows.
Desired Qualifications
  • Experience with artificial intelligence and machine learning technologies, including large language models, retrieval-augmented generation, embeddings, or agent frameworks, including through academic or personal projects.
  • Familiarity with architecture documentation approaches designed for consumption by artificial intelligence agents as well as humans.
  • Exposure to enterprise architecture concepts and how large organisations structure their technology estates.
  • Cloud architecture certifications such as Amazon Web Services Solutions Architect, Azure Solutions Architect, or similar.
  • Experience presenting technical content to peers or at meetups or 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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