M

Marsh

Global insurance brokerage and risk advisory

AI Engineer - Quotient AI Specialist

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Fluency in Python and modern artificial intelligence and machine-learning tooling across the build lifecycle.
  • Hands-on experience shipping large language model-based or machine-learning solutions, ideally under time pressure.
  • For the data-science-leaning track, strong grounding in the mathematics of machine learning, including statistics and linear algebra, plus a range of modelling techniques.
  • For the software-engineering-leaning track, strong engineering practice, including testing, code hygiene, and deployment.
  • Ability to make practical design decisions quickly and keep moving.
  • Experience building solutions that are useful in real-world settings, not only in experiments.
  • Full professional English.

Responsibilities

  • Build artificial intelligence agent and large language model-based solutions that support business development and project execution.
  • Develop traditional machine-learning and analytical models where they are the best fit for the problem.
  • Prototype delivery formats, including agents, avatars, and visual formats that can reduce dependence on slides and meetings.
  • Build with reuse and scale in mind, coordinating with Quotient Inside when a solution is ready to be productized.
  • Work closely with the Technical Business Partner to translate business needs into technical execution.
  • Collaborate with the Platform / Infrastructure Engineer to deploy solutions reliably and maintainably.
  • Pair with the Front-end / AI Content Creator on client-facing outputs and presentation formats where needed.
  • Join client discussions when technical credibility needs to be demonstrated or explained.
  • Help the team move quickly from experiment to delivery while keeping quality high.

Desired Qualifications

  • Interest or background in Banking & Financial Services.
  • Open-source contributions or compelling side projects.
  • Experience working with agent frameworks, large language model application patterns, or data and artificial intelligence workloads in production.
  • Experience building solutions designed for reuse, scale, or productization.
  • Comfort working in a fast-moving environment with multiple concurrent priorities.

About the Company

Marsh

Global insurance brokerage and risk advisory

Marsh helps organizations manage risk and obtain insurance by acting as a risk adviser and broker, placing coverage with multiple underwriters rather than from a single source. It has grown into a diversified professional services firm that includes Mercer, Guy Carpenter, and Oliver Wyman, all under one holding company. Unlike traditional brokers, Marsh combines risk transfer with advisory and consulting services across insurance, reinsurance, HR, and management consulting. Its goal is to lower clients’ financial risk and total cost of risk by offering integrated risk management and advisory solutions.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1871

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