6 days ago
Dublin, IrelandEntry Level
Responsibilities
- Contribute to AI platform architecture and determine how AI capabilities fit into Marsh’s technology landscape.
- Research and evaluate emerging AI technologies, including LLMs, memory systems, agentic frameworks, and guardrails.
- Collaborate with software engineers on focused proofs of concept from an architecture and integration perspective.
- Build high-level integration diagrams, reference architectures, and technology radar documents.
- Create architecture documentation suitable for human engineers and AI coding agents.
- Present architecture perspectives at Marsh’s Architecture Council, Dev Council, and business unit forums.
- Learn and account for Marsh’s existing enterprise architecture when making recommendations.
Requirements
- Bachelor’s degree in computer science, software engineering, data science, information systems, or a related discipline; a master’s degree is preferred.
- Up to two years of professional experience, including internships and placements.
- Genuine interest in system design and architecture, with the ability to consider how systems fit together.
- Familiarity with AWS, Azure, or GCP cloud platforms.
- Hands-on comfort with AI coding platforms and copilots such as GitHub Copilot, Claude Code, or Cursor.
- Strong written and verbal communication skills.
- Preferred qualifications include AI/ML experience with LLMs, RAG, embeddings, or agent frameworks; AI-agent-ready architecture documentation experience; enterprise architecture exposure; cloud architecture certifications; and technical presentation experience.
Benefits
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with collaboration and career development opportunities.
- Access to AI models, tools, tokens, and broader professional development resources.
- Hybrid work arrangement with remote flexibility, while colleagues are expected to work in their local office or onsite with clients at least three days per week.
- Office-based teams identify at least one weekly anchor day for the full team to work together in person.
Tech Stack
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