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AI Operations Specialist

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Guy Carpenter
Full Time position
Listed on 2026-09-22
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

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, Core Logic)
  • 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.

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 , or follow us on Linked In and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best…

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