Lead Agentic Engineer - Marsh Risk Tech

Marsh

Dublin

On-site

EUR 100,000 - 140,000

Full time

14 days+

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Job summary

Marsh Risk Tech in Dublin is seeking a hands-on Lead Agentic Engineer to prototype, shape, and deliver strategic technology initiatives for Marsh Risk Product Development & Engineering.

You will partner with business, product, and security teams, design end-to-end solutions, and build production-ready software across the stack using modern full-stack technologies including MERN. You will also embed AI/LLMs into the SDLC and operate in a global, time-zone-spread environment.

Qualifications

  • Hands-on full-stack software engineering experience.
  • Ability to translate business needs into working solutions.
  • Experience delivering end-to-end software from discovery through production.
  • Proficiency with AI-enabled development tools.
  • Experience with the MERN stack.
  • Experience with Camunda or similar platforms.
  • Backend services in Python, Node, or Java.
  • Experience with Postgres and Mongo databases.

Responsibilities

  • Partner with stakeholders to understand needs and define options.
  • Design end-to-end solutions aligned to objectives and standards.
  • Build prototypes, MVPs, and production-ready software.
  • Investigate external integration options and APIs.
  • Assess feasibility, security, data flow, and operations.
  • Work across teams to move ideas from discovery to delivery.
  • Support AI-enabled delivery with patterns and guardrails.
  • Make sound technical decisions in ambiguous environments.

Skills

Full-stack engineering
Stakeholder collaboration
AI-enabled development
MERN stack
API integration
Python/Node/Java
Security & reliability
Distributed teams

Tools

Camunda
MongoDB
PostgreSQL
REST APIs
Workflow orchestration

Job description

What can you expect?

Marsh Risk is the insurance broking and risk management business of Marsh, a global professional services firm headquartered in New York. Marsh Risk Tech is seeking to appoint a hands‑on, delivery-oriented Lead Agentic Engineer to work directly with the business to prototype, shape, and deliver strategic technology initiatives. This is a business-facing, high-autonomy role within the Marsh Risk Product Development & Engineering team, based in the Marsh Innovation Centre in Dublin.

We will count on you to:
  • 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 that require independent investigation, experimentation, and engineering judgement.
  • 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.
What you will need to have:
  • 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.
  • Comfortable 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.
  • Comfortable with backend services in Python, Node, or Java .
  • Practical experience embedding AI/LLMs into the SDLC, 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 with the ability to influence technical and non-technical audiences.
  • Ability to work independently with a high degree of ownership and autonomy.
What makes you stand out:
  • You simplify complexity and turn ambiguous business problems into elegant, practical solutions.
  • You can communicate effectively with non-technical stakeholders and build trusted working relationships.
  • You can assess external tools, platforms, integration options, and workflow automation approaches quickly and independently.
  • You have experience delivering large-scale, business-critical solutions in global environments.
  • You are comfortable working across time zones in a distributed team environment.
  • You bring a strong bias toward action, experimentation, and delivery.
Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.

We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

#MMCIC

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, peopl

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