# Forward Deployed AI Engineer at Marsh McLennan

Marsh McLennan is hiring a Forward Deployed AI Engineer in London, United Kingdom. Level rates it Works on AI ●●●○; you can [apply on Marsh McLennan](https://jobsbylevel.com/go/f1d4dd24-dec6-405e-9536-67bed89190d3?utm_medium=ai-agent).

AI Level 3, AI centrality 77 out of 100. London - Tower Place East.

## Details

- Company: [Marsh McLennan](https://jobsbylevel.com/companies/marsh-mclennan)
- AI level: AI Level 3 (score 77 out of 100)
- Location: London - Tower Place East
- Posted: November 5, 2026
- Apply: https://jobsbylevel.com/go/f1d4dd24-dec6-405e-9536-67bed89190d3?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=forward-deployed-ai-engineer-at-marsh-mclennan-f67d8a

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-at-marsh-mclennan-f67d8a

## Description

Company: Marsh Description: Marsh’s purpose is to shape the future through perspective, expertise and solutions, empowering clients to thrive. With a foundation built over 150 years, Marsh brings clarity to complexity through industry knowledge and data-driven insights, and builds trusted relationships grounded in integrity and service. Marsh is seeking an Applied AI Product Manager to help translate advances in AI into useful, reliable, production-ready products. This role sits at the intersection of customer discovery, product strategy, technical execution, and responsible deployment. You will partner across engineering, design, data, research, go-to-market, legal, and customer-facing teams to identify high-value workflows, prototype AI-powered experiences, define quality standards, and deliver measurable business and user impact. We will count on you to: * Own product strategy, roadmap, and execution for applied AI capabilities across one or more product areas. * Identify workflows where AI can materially improve speed, quality, decision-making, automation, or user experience. * Translate ambiguous customer problems into clear product requirements, success metrics, prototypes, and release plans. * Partner with engineering and AI teams on LLM-powered systems, including prompts, context design, retrieval, tool use, agents, model selection, and product architecture tradeoffs. * Define and run practical evaluation processes for AI features, including quality rubrics, offline evaluations, regression tests, online metrics, user feedback loops, and human review. * Make product decisions across accuracy, latency, cost, reliability, safety, privacy, and user trust. * Use modern AI tools and coding/productivity harnesses to accelerate research, prototyping, analysis, QA, and product thinking. * Monitor shipped AI experiences for quality, failure modes, adoption, business impact, and operational risk. * Collaborate with design to create intuitive AI UX, including graceful failure states, user control, transparency, and feedback mechanisms. * Work with legal, security, compliance, and policy partners to support responsible deployment. * Enable sales, support, customer success, and marketing with clear positioning, demos, launch materials, and customer narratives. What you need to have : *Experience building, shipping, implementing, analyzing, or operating software, data, AI, automation, or technical products. * Strong product judgment and the ability to turn fuzzy problems into sharp product bets. * Demonstrated ability to build, ship, prototype, or meaningfully contribute to technical products. * Familiarity with modern AI tools and workflows, including hands-on use of AI assistants, coding agents, or product/research harnesses. * Working knowledge of LLM product patterns: prompt design, context engineering, tool/function calling, agents, evaluation, failure modes, and when retrieval or external knowledge sources are useful. * A strong evaluation mindset: you can define what “good” means, measure quality, find regressions, and connect AI performance to user and business outcomes. * Technical fluency with APIs, data, product analytics, and system tradeoffs (SQL, Python, or lightweight scripting is helpful but not required). * Ability to distinguish between a model problem, data problem, UX problem, workflow problem, and expectation-setting problem. * Clear communication with both technical and non-technical audiences. * High ownership and comfort working in ambiguity. What makes you stand out: * Experience shipping AI, ML, automation, data, developer, or workflow products. * Experience creating and running evaluations for AI systems (test sets, grading rubrics, failure analysis, regression tracking, human review workflows). * Experience with observability, quality dashboards, annotation workflows, or human-in-the-loop systems. * Experience with enterprise AI, regulated industries, privacy-sensitive products, or compliance-heavy

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-at-marsh-mclennan-f67d8a

Source: https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-at-marsh-mclennan-f67d8a

## Cite this page

Level. https://jobsbylevel.com/jobs/forward-deployed-ai-engineer-at-marsh-mclennan-f67d8a.

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