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AI Operations Specialist

Marsh McLennan · Chicago, IL · Full time

Posted Jul 20, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an AI or automation project you took from idea to production. What made it stick?

What they are checking: Execution discipline and attention to adoption, not just a pilot that faded.

Tell me about a time you coordinated people across several functions to deliver something.

What they are checking: Cross-functional leadership across broking, analytics, operations and IT.

What would you do

An LLM tool summarizes contracts but sometimes misses a key clause. How do you decide if it is ready?

What they are checking: Judgment on accuracy, human review and risk when errors carry financial consequences.

How do you get brokers to change how they work when they are skeptical of AI?

What they are checking: Change management and trust building with frontline users.

About the work

Where in reinsurance broking operations would you look first for high-impact AI use cases?

What they are checking: Understanding of the workflow, such as submissions, contract wording and data entry, and where AI adds real value.

How would you explain retrieval-augmented generation to a broking leader in two minutes?

What they are checking: Ability to turn technical concepts into clear business value, named directly in the posting.

How would you prioritize ten AI ideas from different teams?

What they are checking: A clear framework using value, feasibility, risk and data readiness.

What does MLOps mean for a generative AI solution once it is live?

What they are checking: Awareness of monitoring, evaluation, versioning and feedback loops after launch.

How would you measure the business value of an AI process redesign?

What they are checking: Defining baseline metrics like cycle time, errors and capacity before claiming results.

What data privacy or confidentiality concerns would you raise before using client data with an AI tool?

What they are checking: Responsible AI awareness around confidential client and market data.

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The full job description

As published by Marsh McLennan.

Company: Guy Carpenter Description: We are seeking a talented individual to join our Guy Carpenter Operations / Operational Change team at Guy Carpenter. This role will be based in New York or Chicago. This is a hybrid role that has a requirement of working at least three days a week in the office. This strategic, execution-focused colleague will drive AI solutions across Guy Carpenter’s reinsurance operations. You will be at the forefront of AI-driven process reengineering, helping shape and execute AI strategy and process redesign across the organization. The successful candidate will identify opportunities, design solutions, and deliver production-grade AI capabilities that create measurable business value. We will count on you to: • Identify, prioritize, and champion high-impact AI use cases across the reinsurance value chain, translating operational pain points into scalable AI opportunities • Execute AI strategy for reinsurance broking operations, partnering across Broking, Distribution, Analytics, CSS/Operations, and IT to deliver outcomes • Coordinate cross-functional teams to deliver generative AI solutions from ideation through production, ensuring strong execution discipline and adoption • Translate complex technical concepts (e.g., LLMs, prompt engineering, RAG, MLOps) into clear business value propositions and compelling narratives for stakeholders and leaders • Establish and promote best practices across the AI lifecycle, including responsible AI principles, governance, and model risk considerations • Drive change management and capability-building initiatives, including training materials, knowledge resources, and communities of practice to accelerate adoption and impact What you need to have: • 8–10 years of experience in process re-engineering, data science, AI/ML, product management, strategy, operations consulting, or related experience • Deep technical expertise in machine learning and generative AI (LLMs, prompt engineering, RAG) with hands-on implementation experience, plus familiarity with MLOps practices and tools • Proven track record translating business problems into AI use cases and delivering measurable value in financial services, insurance, or reinsurance • Exceptional stakeholder management, influencing, and communication skills, including ability to build consensus and drive change with senior leaders What makes you stand out: • Product management experience defining product vision, managing roadmaps, prioritizing features, and launching successful solutions with strong execution delivery • Experience implementing AI solutions for (re)insurance workflows, including familiarity with reinsurance analytics tools and/or catastrophe modeling platforms (RMS, AIR, CoreLogic) • Advanced degree (Master’s/PhD) and/or relevant professional certifications in AI/ML, product management, or insurance qualifications (e.g., ACAS, FCAS, CII) 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 work 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, as well as benefits and rewards to enhance your well-being. At Guy Carpenter, a Marsh business, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career. Guy Carpenter is a business of Marsh (NYSE: MRSH), 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 about Guy Carpenter, visit guycarp.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, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@marsh.com. 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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