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.
Role Overview
We're looking for an Associate Architect who wants to help shape how AI is adopted across a global enterprise — from day one. You'll work alongside the Head of AI CoE and senior colleagues to evaluate emerging AI technologies, design integration patterns, and build the reference architectures that guide how Marsh adopts AI 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 be expected to test things yourself, form your own technical opinions, and contribute to architecture decisions that most people don’t get near until much later in their careers.
Responsibilities
Contribute to AI platform architecture — working with the rest of the AI CoE to design how AI capabilities fit together across Marsh's technology landscape
Identify technologies for evaluation — research emerging AI technologies (LLMs, memory systems, agentic frameworks, guardrails) and recommend which should come up for the next proof‑of‑concept
Collaborate on proofs‑of‑concept — pair with a software engineer on focused PoCs, contributing the architecture perspective: how does this technology integrate with what we have, and where we’re going?
Build reference architectures — contribute to 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 — contribute to presentations at Marsh's Architecture Council, Dev Council, and business unit forums
Understand the enterprise landscape — learn Marsh's existing enterprise architecture so that your recommendations account for where we are today, not just where we want to be
What you need to have
A Bachelor's degree (Master's preferred) in computer science, software engineering, data science, information systems, or a related discipline
Up to 2 years of professional experience (including internships and placements)
Genuine interest in system design and architecture — you think about how things fit together, not just how to make them work in isolation
Strong intellectual curiosity and high standards — you actively track emerging technology, learn quickly, and care about doing excellent work
Familiarity with cloud platforms (AWS, Azure, or GCP)
Hands‑on comfort with AI coding platforms and copilots (GitHub Copilot, Claude Code, Cursor, or similar) and the modern languages they support
Strong communication skills, in writing and in person
What makes you stand out
Experience with AI/ML technologies — even academic or personal projects involving LLMs, RAG, embeddings, or agent frameworks
Familiarity with architecture documentation approaches that are ready for consumption by AI agents as well as humans
Exposure to enterprise architecture concepts — understanding how large organisations structure their technology estates
Cloud architecture certifications (AWS Solutions Architect, Azure Solutions Architect, or similar)
Experience presenting technical content to peers or at meetups or conferences
What makes this role different
You’ll make architecture decisions early. Most architects spend years as engineers before they get to influence system design. Here, you’ll be contributing to architecture decisions from day one.
You’ll work with preview‑stage technologies. Beta APIs, emerging frameworks, tools that don’t have documentation yet.
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 be in the room, contributing to conversations that shape Marsh's technical direction.
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.
Equal Opportunities
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 reasonableaccommodations@mmc.com 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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