Find Engineer ml platform Jobs in Clondalkin, D

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Amazon Development Centre Ireland Limited —Dublin, County Dublin
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Adswizz —Dublin, County Dublin
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Adswizz —Dublin, County Dublin
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Intercom —Dublin, County Dublin
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AI Product Manager
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Senior Data Engineer
G MASS —Dublin, County Dublin
- Full-time
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Quick apply
AI Product Manager
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
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Solution Architect
Sonalake —Dublin, County Dublin
- Hybrid work
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AI Engineering Manager
Flutter Entertainment —Dublin, County Dublin
- System design
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Staff/Lead Front-end Engineer
Mimica —Dublin, County Dublin
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AI Architect

Marsh -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

Azure
Google Cloud Platform
AWS
Presentation skills
GitHub
AI
Communication skills

Full job description

Company:

Marsh

Description:

What can you expect?

Marsh is a global leader in insurance broking and risk management, serving clients in over 130 countries. The AI Center of Excellence is a newly formed team with a singular mission: get emerging AI capabilities into the hands of Marsh engineers and business teams as fast as the technology landscape moves.

We're looking for an Architect who wants to shape how AI is adopted across a global enterprise. You'll own areas of the AI platform architecture end-to-end — evaluating emerging technologies, designing integration patterns between new AI capabilities and Marsh's existing systems, and building the reference architectures and standards that guide adoption at scale.

This is an architecture role, not a pure engineering role — but you'll need to get hands-on with the technologies you're evaluating. You'll test things yourself, form clear technical opinions, own the architecture recommendations in your domain, and work with technical leaders across the enterprise to get them approved and implemented.

We will count on you to:

Own areas of the AI platform architecture — design how AI capabilities fit together and integrate with Marsh's existing technology landscape, taking end-to-end ownership of your domain areas
Drive technology evaluation — identify which emerging AI technologies (LLMs, memory systems, agentic frameworks, guardrails) should come up for the next proof-of-concept, and define what success looks like
Collaborate on proofs-of-concept — work alongside a software engineer on focused PoCs, owning the architecture perspective: integration patterns, deployment topology, and how the technology fits the broader roadmap
Build and maintain reference architectures — own high-level integration diagrams, reference architectures, and technology radar documents that guide AI adoption across the business
Document architecture for humans and AI agents — produce architecture documentation in formats that are useful to both human engineers and AI coding agents
Present at architecture forums — present at and contribute to the agenda of Marsh's Architecture Council, Dev Council, and business unit forums
Navigate the enterprise landscape — understand Marsh's existing enterprise architecture deeply enough to design integration patterns that work with where we are today, not just where we want to be
Coach peers — share architectural thinking and domain knowledge with colleagues in the AI CoE, helping the team build collective expertise

What you need to have:

Professional experience in a software engineering, architecture, or technical design role — with a track record of contributing to design decisions, not just implementing them
Experience designing or contributing to system architecture — integration patterns, component decomposition, technology selection — in a professional setting
Understanding of cloud-native architecture across multiple platforms (AWS, Azure, GCP)
Hands-on comfort with AI coding platforms and copilots (GitHub Copilot, Claude Code, Cursor, or similar) and the modern languages they support
Strong intellectual curiosity and high standards — you actively track emerging technology, learn quickly, and care about doing excellent work
Strong communication skills, able to present a technical recommendation to both engineers and senior stakeholders
The ability to evaluate a new technology quickly and form a clear architectural opinion

What makes you stand out:

Experience with AI/ML technologies in a professional context — integrating, deploying, or architecting systems that use LLMs, RAG, embeddings, or agent frameworks
Familiarity with enterprise architecture — understanding how large organisations structure their technology estates and manage technology change
Experience with architecture documentation approaches that are ready for consumption by AI agents as well as humans
Cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect, or similar)
Experience presenting at internal architecture forums, tech talks, or external conferences

What makes this role different:

You'll work with preview-stage technologies. Beta APIs, emerging frameworks, technologies that don't have documentation yet.
You'll shape technical direction across Marsh. Your reference architectures and technology recommendations directly influence how AI is adopted across the business.
You'll design for humans and machines. Your architecture documentation needs to work for human engineers and for AI coding agents.
You'll be one of the first members of the AI CoE. You'll help shape ways of working, documentation standards, and team culture as the team grows.
You'll present to senior forums. Architecture Council, Dev Council, business unit leadership — you'll own agenda items, not just attend.
You'll have the tools you need. Access to AI models, tools, tokens, and broader professional development opportunities.

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.

#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.

Apply Now

Refine Your Search

engineer ml platform jobs in clondalkin, d

AI Architect

Scaled Customer Engineer, SMB, Artificial Intelligence

Associate Director, Digital Diagnostics & AI

Database Reliability Engineer

Senior Data Engineer

Principal Data Scientist

Senior Data Analytics & AI Engineer

Developer Advocate (Remote)

Sr. Database Engineer, AWS DMS

Senior Staff Machine Learning Scientist, Recommendations

Staff Product Engineer, AI

Staff Machine Learning Engineer

Senior Forward Deployed Engineer

Senior Data Scientist

AI Product Manager

Senior Data Engineer

AI Product Manager

Solution Architect

AI Engineering Manager

Staff/Lead Front-end Engineer

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What makes you stand out:

Experience with AI/ML technologies in a professional context — integrating, deploying, or architecting systems that use LLMs, RAG, embeddings, or agent frameworks

What makes this role different:

Why join our team:

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