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AI Operations Specialist

mmc · New York - 1166

New
Hybrid Senior 🇬🇧 English
LLMs Prompt engineering RAG MLOps

Job description

About the role

Marsh Re is looking for an AI Operations Specialist to join its Marsh Re Operations / Operational Change team, based in New York or Chicago. This is a hybrid role with at least three days a week in the office. The specialist drives AI solutions across reinsurance operations, shaping and executing AI strategy and process redesign, and delivering production-grade AI capabilities.

Key responsibilities

  • Identify, prioritize and champion high-impact AI use cases across the reinsurance value chain, turning operational pain points into scalable opportunities
  • Execute AI strategy for reinsurance broking operations, partnering with Broking, Distribution, Analytics, CSS/Operations and IT
  • Coordinate cross-functional teams to deliver generative AI solutions from ideation through production
  • Translate technical concepts such as LLMs, prompt engineering, RAG and MLOps into clear business value for stakeholders and leaders
  • Establish best practices across the AI lifecycle, including responsible AI, governance and model risk
  • Drive change management and capability building, including training materials, knowledge resources and communities of practice

Required profile

  • 8-10 years of experience in process re-engineering, data science, AI/ML, product management, strategy, operations consulting or related fields
  • Proven track record of turning business problems into AI use cases and delivering measurable value in financial services, insurance or reinsurance
  • Exceptional stakeholder management, influencing and communication skills, able to drive change with senior leaders
  • Nice to have: product management experience, AI implementation experience in (re)insurance workflows, familiarity with RMS, AIR or CoreLogic, advanced degree and/or AI/ML, product management or insurance certifications (ACAS, FCAS, CII)

Required skills

  • Machine learning and generative AI (LLMs, prompt engineering, RAG)
  • MLOps practices and tools

Questions fréquentes

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Source : ats:workday

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Published 7 hours ago

Expires 1 month from now

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mmc

New York - 1166