AI Engineer

Marsh; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work arrangement

Professional development opportunities

Job summary

Marsh is seeking an AI Engineer to bring preview-stage AI technologies into production environments. You will work on LLM-based systems, memory and retrieval, agent orchestration, guardrails, and MCP tooling, rapidly moving proofs-of-concept to production-ready capabilities that Marsh engineers and teams can adopt.

You will coach peers, participate in architecture forums, and ensure enterprise-wide correct configuration of AI tools.

Qualifications

• Strong software engineering experience in Python and/or TypeScript, with production systems
• Hands-on AI engineering: integrating, deploying, and operating LLM-based systems
• Experience writing infrastructure-as-code for cloud deployments (Crossplane preferred)
• Comfort across AWS, Azure, and GCP
• Active curiosity and fast learner with a drive for excellence
• Ability to evaluate new tech quickly and form clear recommendations
• Excellent communication to explain complex tech to diverse stakeholders

Responsibilities

• Run focused proofs-of-concept to evaluate AI technologies against Marsh use cases
• Select and recommend technologies with clear guidance
• Productionise capabilities with repeatable deployment patterns
• Direct AI coding agents ensuring correct tool use and Marsh standards
• Become SME in AI domains and coach peers
• Engage with Marsh business units to understand needs and feed requirements
• Share knowledge through blogs, demos and internal presentations

Skills

Python

TypeScript

LLM engineering

prompt engineering

Cloud platforms

IaC

communication

Tools

Crossplane

Terraform

Pulumi

CDK

Kubernetes

GitHub Copilot

Claude Code

Cursor

MCP tooling

Job 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.

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 AI Engineer who wants to live on the cutting edge of AI. You’ll be the person who picks up preview-stage technologies - new LLM approaches, memory systems, agentic deployment frameworks, guardrails, Model Context Protocol (MCP) tooling - runs rapid proofs-of-concept and turns the successful ones into production‑ready capabilities that the rest of Marsh can adopt. This is an individual contributor role, but you’ll become the recognised subject‑matter expert in one or more AI technology areas. That means coaching your peers in the AI CoE, presenting internally, and - critically - ensuring that both human engineers and autonomous AI coding agents across the enterprise are configured to use these technologies correctly and select them ahead of alternatives.

We will count on you to:

• Run focused proofs-of-concept - typically one or two at a time - to evaluate emerging AI technologies against real Marsh use cases, moving from experiment to recommendation at speed
• Select and recommend technologies for adoption, producing clear guidance on when and why to use them
• Productionise chosen capabilities with repeatable, infrastructure-as-code deployment patterns using Crossplane across AWS, Azure, and other hyperscaler clouds, then hand operational ownership to the appropriate platform teams
• Direct AI coding agents (GitHub Copilot, Claude Code, Cursor, and others) - ensuring they are technically configured to leverage new technologies, select them appropriately, and follow Marsh standards
• Become a subject‑matter expert in one or more AI technology domains (e.g. memory and retrieval, agent orchestration, guardrails and safety, MCP tooling) and coach peers across Marsh on those topics
• Engage with business units across Marsh through architecture forums, dev councils, and other channels to understand needs and feed requirements back into the PoC pipeline
• Share knowledge internally through blog posts, demos, and presentations - keeping the wider engineering community informed about what’s coming and what’s ready

What you need to have:

• Strong software engineering experience in Python and/or TypeScript, with a track record of shipping production systems - not just prototypes
• Hands‑on experience with AI engineering: integrating, deploying, instrumenting, and operating LLM-based systems (prompt engineering, retrieval‑augmented generation, function calling, agent frameworks, evaluation, observability)
• Experience writing infrastructure-as-code for cloud deployments (Crossplane preferred; Terraform, Pulumi, or CDK experience transfers well)
• Comfort working across multiple cloud platforms (AWS, Azure, GCP) rather than deep specialism in one
• Strong intellectual curiosity and high standards - you actively track emerging technology, learn quickly, and care about doing excellent work
• The ability to evaluate a new technology quickly and form a clear recommendation
• Excellent communication skills, able to explain a complex technical decision to both engineers and non‑technical stakeholders

What makes you stand out:

• Breadth of programming language experience beyond Python/TypeScript - Rust, Go, or others that demonstrate curiosity and range
• Familiarity with Model Context Protocol (MCP) - building or consuming MCP servers and tools
• Experience with Crossplane or Kubernetes-based infrastructure management
• Exposure to AI safety and guardrails frameworks (content filtering, prompt injection defence, output validation)
• Experience configuring or extending AI coding assistants (custom instructions, tool integration, workspace configuration)
• Background in fine‑tuning or adapting foundation models

What makes this role different:

• You’ll use things before anyone else. Preview APIs, beta frameworks, technologies that don’t have Stack Overflow answers yet.
• You’ll shape technical direction. Your PoC outcomes and recommendations directly influence which technologies Marsh adopts across the enterprise.
• You’ll onboard humans and machines. You’ll ensure that AI coding agents across the organisation are configured to use the right tools in the right way.
• You’ll be one of the first members of the AI CoE. You’ll help shape ways of working, team culture, and technical standards as the team grows.
• 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 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 [e-mail] 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.