3 months ago
Dublin, IrelandSenior

Responsibilities

  • Run one or two focused proofs of concept at a time to evaluate emerging AI technologies against Marsh use cases.
  • Select and recommend technologies for adoption with clear guidance on when and why to use them.
  • Productionize selected capabilities using repeatable Crossplane infrastructure-as-code patterns across AWS, Azure, and other hyperscaler clouds.
  • Configure GitHub Copilot, Claude Code, Cursor, and other AI coding agents to use technologies correctly and follow Marsh standards.
  • Become a subject-matter expert in AI technology domains such as memory and retrieval, agent orchestration, guardrails and safety, or MCP tooling.
  • Coach peers, engage business units through architecture forums and developer councils, and share knowledge through blogs, demos, and presentations.

Requirements

  • Strong software engineering experience in Python and/or TypeScript with a record of shipping production systems.
  • 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 is transferable.
  • Comfort working across AWS, Azure, and GCP rather than specializing deeply in one cloud.
  • Strong intellectual curiosity, high standards, rapid learning ability, and the ability to evaluate new technology and form clear recommendations.
  • Excellent communication skills for explaining complex technical decisions to engineers and non-technical stakeholders.
  • Preferred experience includes Rust or Go, Model Context Protocol, Crossplane or Kubernetes infrastructure management, AI safety and guardrails, AI coding assistants, and fine-tuning or adapting foundation models.

Benefits

  • Professional development opportunities, interesting work, supportive leaders, and access to AI models, tools, tokens, and related resources.
  • Inclusive and flexible work environment with equal-opportunity and reasonable-accommodation support.
  • Hybrid work arrangement with remote flexibility; colleagues are expected to work in their local office or onsite with clients at least three days per week, with office-based teams designating at least one weekly anchor day.
Marsh & McLennan Companies

About Marsh & McLennan Companies

501-1,000 employees

Marsh McLennan is a global professional services firm providing risk, insurance and reinsurance brokerage, health, wealth, and management consulting to corporations, governments, and nonprofits. It operates through Marsh, Guy Carpenter, Mercer, and Oliver Wyman, earning fees and commissions for advisory, analytics, and placement services. Founded in 1905 and headquartered in New York, it is publicly traded on the NYSE under the ticker MMC.

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