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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Lead Agentic Engineer - Risk Tech

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • Strong hands-on experience in full-stack software engineering and solution design.
  • Proven ability to work directly with business stakeholders to translate needs into working solutions.
  • Experience delivering complex software end to end, from discovery through production.
  • Strong proficiency with AI-enabled development and productivity tools.
  • Comfort working across modern full-stack technologies such as the MERN stack or equivalent, including React, Node.js, Express, and MongoDB.
  • Experience with Camunda or similar workflow/process orchestration platforms.
  • Comfort working with backend services in Python, Node, or Java.
  • Practical experience embedding AI/LLMs into the software development lifecycle, including prompt engineering, LLM-assisted development, automated testing, and model CI/CD.
  • Experience with relational databases such as Postgres, key-value/NoSQL stores such as Mongo, and basic ETL and schema management.
  • Proven ability to investigate external integration opportunities and design practical integration approaches with third-party systems, APIs, enterprise platforms, and workflow engines.
  • Strong communication skills to influence technical and non-technical audiences.
  • Ability to work independently with a high degree of ownership and autonomy.

Responsibilities

  • Partner with business, product, and operational stakeholders to understand needs, shape requirements, and define pragmatic solution options.
  • Design end-to-end solutions aligned to business objectives, architectural standards, security requirements, reliability needs, and operational constraints.
  • Build prototypes, MVPs, and production-ready software across the stack.
  • Investigate external integration options, including third-party platforms, APIs, vendor capabilities, enterprise systems, and workflow engines.
  • Assess technical feasibility, security considerations, data flow, supportability, and operational impact of integration approaches.
  • Work through non-standard integration challenges requiring independent investigation, experimentation, and engineering judgment.
  • Use AI-enabled tools to improve speed, quality, consistency, and engineering productivity.
  • Support teams adopting AI-assisted delivery approaches through practical guidance, patterns, and guardrails.
  • Collaborate across development, product, business, security, data, and platform teams to move ideas from discovery to delivery.
  • Make sound technical decisions in ambiguous environments, balancing speed, scalability, maintainability, and risk.
  • Contribute to technical direction through hands-on problem solving and solution shaping.

Desired Qualifications

  • Simplify complexity and turn ambiguous business problems into practical solutions.
  • Communicate effectively with non-technical stakeholders and build trusted working relationships.
  • Assess external tools, platforms, integration options, and workflow automation approaches quickly and independently.
  • Experience delivering large-scale, business-critical solutions in global environments.
  • Comfort working across time zones in a distributed team environment.
  • Bring a bias toward action, experimentation, and delivery.

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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