OverviewMarsh 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.ResponsibilitiesRun 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 speedSelect and recommend technologies for adoption, producing clear guidance on when and why to use themProductionise 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 teamsDirect 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 standardsBecome 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 topicsEngage with business units across Marsh through architecture forums, dev councils, and other channels to understand needs and feed requirements back into the PoC pipelineShare knowledge internally through blog posts, demos, and presentations — keeping the wider engineering community informed about what\'s coming and what\'s readyQualificationsStrong software engineering experience in Python and/or TypeScript, with a track record of shipping production systems — not just prototypesHands-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 oneStrong intellectual curiosity and high standards — you actively track emerging technology, learn quickly, and care about doing excellent workThe ability to evaluate a new technology quickly and form a clear recommendationExcellent communication skills, able to explain a complex technical decision to both engineers and non-technical stakeholdersPreferredBreadth of programming language experience beyond Python/TypeScript — Rust, Go, or others that demonstrate curiosity and rangeFamiliarity with Model Context Protocol (MCP) — building or consuming MCP servers and toolsExperience with Crossplane or Kubernetes-based infrastructure managementExposure 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 modelsWhat makes this role differentYour use of preview APIs, beta frameworks, and technologies that don\'t have Stack Overflow answers yetYour PoC outcomes and recommendations directly influence which technologies Marsh adopts across the enterpriseYou\'ll onboard humans and machines, ensuring AI coding agents are configured to use the right tools in the right wayYou\'ll be one of the first members of the AI CoE, helping shape ways of working, team culture, and technical standards as the team growsYou\'ll have the tools you need, including access to AI models, tools, tokens, and professional development opportunitiesWhy join our teamWe 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.#MMCICMarsh (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.R_347307
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