3 months ago
Dublin, IrelandSenior
Responsibilities
- Run focused proofs of concept for emerging AI technologies against real Marsh use cases and turn results into recommendations.
- Select and recommend technologies, documenting when and why they should be used.
- Productionise selected capabilities with repeatable Crossplane infrastructure-as-code patterns across AWS, Azure, and other hyperscaler clouds.
- Configure and direct AI coding agents, including GitHub Copilot, Claude Code, and Cursor, to use technologies appropriately and follow Marsh standards.
- Develop subject-matter expertise in AI technology areas such as memory and retrieval, agent orchestration, guardrails and safety, or MCP tooling.
- Engage business units through architecture forums and developer councils to understand needs and feed requirements into the PoC pipeline.
- Coach peers and share knowledge through blog posts, demonstrations, and presentations.
Requirements
- Strong production software engineering experience in Python and/or TypeScript.
- Hands-on experience integrating, deploying, instrumenting, and operating LLM-based systems, including prompt engineering, retrieval-augmented generation, function calling, agent frameworks, evaluation, and observability.
- Experience writing infrastructure-as-code for cloud deployments; Crossplane is preferred, while Terraform, Pulumi, or CDK experience transfers well.
- Comfort working across AWS, Azure, and GCP.
- Ability to evaluate emerging technologies quickly and form clear recommendations.
- Excellent communication skills for explaining complex technical decisions to engineers and non-technical stakeholders.
- Preferred qualifications include Rust or Go experience, MCP server or tool experience, Crossplane or Kubernetes-based infrastructure management, AI safety and guardrails experience, AI coding assistant configuration, and foundation-model fine-tuning or adaptation experience.
Benefits
- Access to AI models, tools, tokens, and professional development opportunities.
- Professional development opportunities, interesting work, and supportive leaders.
- Inclusive and flexible work environment with collaboration and career opportunities at Marsh’s scale.
- Hybrid work 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.
Categories
About Marsh
Marsh is a global insurance broker and risk advisor that helps businesses, public entities, and individuals assess, transfer, and manage risk through insurance placement, captives, and advisory services. It sells brokerage, risk consulting, and claims management across industries, including cyber and property, and operates in more than 130 countries. Marsh is a business of Marsh McLennan and is headquartered in New York.