AI Analyst Architecture
Job Summary
Company:
MarshDescription:
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.
Were looking for an Associate Architect who wants to help shape how AI is adopted across a global enterprise from day one. Youll 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 youll need to get hands-on with the technologies youre evaluating. Youll be expected to test things yourself form your own technical opinions and contribute to architecture decisions that most people dont get near until much later in their careers.
We will count on you to:
- Contribute to AI platform architecture working with the rest of the AI CoE to design how AI capabilities fit together across Marshs 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 were 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 Marshs Architecture Council Dev Council and business unit forums
- Understand the enterprise landscape learn Marshs 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 Batchelors degree (Masters 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/conferences
What makes this role different:
- Youll make architecture decisions early. Most architects spend years as engineers before they get to influence system design. Here youll be contributing to architecture decisions from day one.
- Youll work with preview-stage technologies. Beta APIs emerging frameworks tools that dont have documentation yet.
- Youll be one of the first members of the AI CoE. Youll help shape ways of working documentation standards and team culture as the team grows.
- Youll present to senior forums. Architecture Council Dev Council business unit leadership youll be in the room contributing to conversations that shape Marshs technical direction.
- Youll 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 95000 colleagues Marsh helps build the confidence to thrive through the power of perspective. For more information visit 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 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.Required Experience:
IC