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Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Forward Deployed Engineer - Data & Analytics

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

About the Job

Requirements

  • Excellent programming and system design skills, with recent hands-on experience in Python and ideally one of C#/.NET, Java, Rust or C++.
  • A track record of taking AI or machine learning systems into production, including substantial experience with large language models, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines.
  • Depth in surrounding engineering, including APIs and integrations, SQL, cloud platforms such as Azure or AWS, version control, continuous integration and continuous delivery, and security and access considerations for deployment in another organization's environment.
  • Proven ability to own a project from start to finish in an ambiguous setting, and the judgment to know what to build, what to buy and what to leave alone.
  • Experience working directly with clients or business stakeholders, including credibility to push back when the stated requirement is not the right one.
  • A strong academic background, with an undergraduate degree in computer science, mathematics, engineering or a related field.

Responsibilities

  • Embed within client teams to understand how work is done and frame business problems and commercial opportunities as AI problems, applying judgment to identify the true need beyond the stated requirement.
  • Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments.
  • Set the technical direction on engagements, making architectural decisions and defending them to client engineering and security teams.
  • Establish the technical foundations solutions depend on, working with client IT to secure the right integrations, access and hosting.
  • Prove value in production at small scale, then work with colleagues to productize and scale what works.
  • Build a pipeline of new use cases from observations on the ground, and help clients build their own capability rather than a dependency on the company.
  • Bring on other engineers as the work grows, and raise delivery standards through review, pairing and mentoring.
  • Challenge current systems and processes to achieve common goals through technical excellence and innovation.
  • Keep abreast of progress in AI and technology trends.

Desired Qualifications

  • Financial services experience is a bonus but is not essential.
  • Experience in one or more of C#/.NET, Java, Rust or C++ is ideal in addition to Python.

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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