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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Senior Lead AI Developer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A technical background in computer science, data science, machine learning, artificial intelligence, statistics, or another quantitative and computational science.
  • A compelling track record of designing and deploying large-scale technical solutions that deliver tangible, ongoing value, including direct experience building and deploying robust, complex production systems that implement modern artificial intelligence at scale.
  • Comfort working on time-boxed large projects where consequential design decisions may need to be made and acted upon rapidly.
  • Demonstrated fluency in modern programming languages for artificial intelligence and agents across the end-to-end artificial intelligence development lifecycle.
  • Knowledge of one or more agentic platforms, including Azure Foundry, AWS Bedrock, or Gemini Enterprise Agent Platform.
  • Deep familiarity with the architecture, performance characteristics, and limitations of compound artificial intelligence systems, including retrieval-augmented generation, tool use, agentic memory, and multi-agent orchestration.
  • Experience designing and operating evaluation frameworks and observability tooling to measure artificial intelligence system quality, detect failure modes, and maintain performance in production.
  • Proficiency in large language model system design, including prompt engineering, context and token management, structured output, fine-tuning tradeoffs, and cost and latency optimization.
  • Practical awareness of artificial intelligence risk, bias, and governance, including identifying and mitigating failure modes in high-stakes or regulated environments.
  • A solid theoretical grounding in the mathematical core of artificial intelligence and machine learning, including applied understanding of modelling or analytical techniques and fluency in statistics, linear algebra, and vector calculus.

Responsibilities

  • Explore data and craft artificial intelligence solutions to answer core business problems.
  • Work with Partners and Principals to shape proposals that leverage artificial intelligence and engineering capabilities.
  • Build and deploy large language model-based agent systems in production.
  • Keep up with the state of the art in the relevant domain and develop familiarity with emerging modelling and data engineering methodologies.
  • Advocate for the application of best practices in modelling, code hygiene, and data engineering.
  • Lead the development of proprietary artificial intelligence and machine learning solutions, algorithms, or analytical tools and infrastructure on projects and asset development.
  • Manage technical projects and help teams design and build artificial intelligence and machine learning systems and pipelines that are extensible and production quality.
  • Contrast methods and select appropriate approaches based on the data or modelling problem.
  • Work alongside Oliver Wyman partners in Quotient and other practice groups, engage directly with clients to understand business challenges, and craft solutions in collaboration with other Quotient specialists and consultants.

Desired Qualifications

  • A history of compelling side projects or contributions to the open-source community.
  • Experience presenting at high-impact artificial intelligence and machine learning developer conferences and strong connections to the developer community, such as through meetups, open-source contributions, or ongoing relationships with academics.
  • Interest or background in financial services, healthcare and life sciences, consumer, retail, energy, or transportation industries.

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

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