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Senior Gen AI Developer

Marsh -
Dublin, County Dublin

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Job details

Full-time

Qualifications

Node.js
React
Kubernetes
AWS
JavaScript
Distributed systems
Angular
AI
TypeScript
Communication skills
Python

Full job description

Company:

Marsh

Description:

Excited by the pace of AI and the chance to build something meaningful? Join our growing Innovation team in Dublin and help create next-generation AI applications using the latest tools, technologies, and ideas. You’ll work alongside experienced and curious colleagues in a collaborative environment that encourages exploration, learning, and shared problem-solving. With strong support from senior leaders and visibility across the business, the team is well placed to develop, test, and scale new solutions . Your work will be visible, valued, and connected to key priorities from day one.

The role and mission:

T his is an opportunity to build, test, and scale AI solutions that can make a real difference. You’ll work on meaningful initiatives, turning new ideas into practical applications that address real business and client needs. Alongside hands-on engineering, you’ll help shape our innovation hub by contributing to hackathons, engaging with the broader tech community, and supporting a culture centered on experimentation, learning, collaboration, and results.

What you will do:

Lead AI initiatives end to end, from early concept and prototyping through to production-ready solutions
Help shape technical direction on projects, contributing to design choices and supporting the path from idea to implementation
Build practical AI applications that address real business problems and deliver measurable value
Work closely with colleagues across our Dublin and international Innovation teams, while also having scope to take initiative and contribute your own ideas
Work in an Agile environment where you can contribute ideas, experiment, learn quickly, and see the impact of your work
Stay hands-on with the latest AI tools, models, and techniques, with ongoing opportunities to learn, test, and evolve continuously
Help shape and strengthen how we build AI, including best practices in prompt engineering, experimentation, evaluation, and solution design
Create reusable approaches, tools, and patterns that help the wider team work more effectively and consistently
Share knowledge, support technical excellence, and help grow capability across a growing team

Why you'll love it:

This is a chance to play a meaningful role in a senior position, with the opportunity to shape projects and contribute to how AI solutions are built. You’ll work on important challenges, explore the latest technologies, and help develop best practices in a team that is growing quickly and working with purpose. With strong leadership support, visibility across the business, and access to the resources of a global organization, you’ll have the platform to make a genuine impact while continuing to grow your career. And you’ll do it from Dublin, one of Europe’s most dynamic and well-connected tech hubs.

What you will need to have:

Strong software engineering experience, with the depth and judgment expected in a senior-level role
Experience building and delivering production-grade applications
Deep hands-on experience with modern JavaScript/TypeScript development, including frameworks such as React, Vue, or Angular
Solid backend experience with Node.js, NestJS , or similar technologies
Experience using Python to build AI-powered workflows, integrations, or applications
Strong understanding of APIs, distributed systems, and integrating AI into real-world products and business processes
Hands-on experience building with LLMs, including prompt design, tool use, structured outputs, and application orchestration
Experience with RAG, retrieval pipelines, embeddings, and knowledge-grounded AI systems
Familiarity with modern agent patterns, multi-step workflows, and tool-connected AI systems
Good understanding of AWS, Kubernetes, and the infrastructure required to deploy and scale AI applications
Experience with monitoring and observability for production AI applications, with an understanding of how to track performance, reliability, and system health
Strong communication skills, a practical and thoughtful approach to problem-solving, and the ability to work effectively across engineering and business teams

What makes you stand out:

Experience taking AI products from early experimentation through to production use
Familiarity with emerging standards and frameworks in the agent ecosystem, including Model Context Protocol (MCP)
Knowledge of vector databases, semantic search, and scalable retrieval architectures
Experience improving the quality, reliability, latency, and cost-efficiency of AI systems
Experience with AI evaluation frameworks, testing approaches, and guardrails for reliable and responsible AI systems
A track record of leading projects, mentoring others, and helping define engineering best practices

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 collaborate 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.

Note this role is based in the MMC Innovation Centre in Dublin, and the successful candidate is expected to be in the office 3 days per week.

Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other less represented groups tend to only apply when they check every box. So, if you think you have what it takes, but don't necessarily meet every single point on what is needed, please still get in touch.

#MMCIC

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, Traveller community, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable support to any candidate with a disability/health condition to allow them to fully participate in the recruitment process. We welcome candidates to contact us at [email protected] to discuss any specific needs.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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