Marsh & McLennan Companies

Lead Agentic Engineer — Marsh Risk Tech

Marsh & McLennan Companies
Apply
4 days ago
Dublin, IrelandStaff+

Responsibilities

  • Partner with business, product, and operational stakeholders to understand needs, define requirements, and shape pragmatic solution options.
  • Design end-to-end solutions aligned with business objectives, architecture, security, reliability, and operational requirements.
  • Build prototypes, MVPs, and production-ready full-stack software.
  • Investigate and implement integrations with third-party platforms, APIs, enterprise systems, vendor services, and workflow engines.
  • Assess integration feasibility, security, data flows, supportability, and operational impact.
  • Use AI-enabled tools to improve engineering speed, quality, consistency, and productivity.
  • Guide teams in adopting AI-assisted delivery approaches, patterns, and guardrails.
  • Collaborate with development, product, business, security, data, and platform teams to move ideas from discovery to production.
  • Make independent technical decisions in ambiguous environments while balancing speed, scalability, maintainability, and risk.
  • Contribute to technical direction through hands-on problem solving and solution shaping.

Requirements

  • Strong hands-on experience in full-stack software engineering and solution design.
  • Experience working 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.
  • Experience with modern full-stack technologies such as the MERN stack or equivalent, including React, Node.js, Express, and MongoDB.
  • Experience with Camunda or similar workflow and process orchestration platforms.
  • Backend development experience with Python, Node.js, or Java.
  • Practical experience embedding AI and LLMs into the software development lifecycle, including prompt engineering, LLM-assisted development, automated testing, and model CI/CD.
  • Experience with relational databases such as PostgreSQL, key-value or NoSQL stores such as MongoDB, and basic ETL and schema management.
  • Experience investigating external integration opportunities and designing approaches involving third-party systems, APIs, enterprise platforms, and workflow engines.
  • Strong communication skills with technical and non-technical audiences and the ability to work independently with high ownership.
  • Ability to simplify complex or ambiguous business problems and deliver practical solutions.
  • Experience delivering large-scale, business-critical solutions in global environments is a differentiator.
  • Ability to work across time zones in a distributed team environment is a differentiator.

Benefits

  • Professional development opportunities, interesting work, supportive leaders, and opportunities to create impactful solutions.
  • Inclusive and flexible work environment with equal-opportunity and reasonable-accommodation support.
  • Hybrid work arrangement requiring colleagues to work in their local office or onsite with clients at least three days per week, with office-based teams having 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.

Contact me