Forward Deployed AI Engineer

Marsh McLennan is hiring a Forward Deployed AI Engineer in London, United Kingdom. Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Works on AI ●●●○ is how Level rates this AI engineer role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include prompt engineering and AI product.
Level lists 629 other open roles at Marsh McLennan.
The role was posted in the last few days.

AI in this role

prompt-engineeringai-product

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 environments.
* Familiarity with retrieval systems, search, knowledge management, or other ways of giving AI systems useful context.
* Background in engineering, data science, research, technical consulting, design, or founder-like product work.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at reasonableaccommodations@marsh.com.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

How we rate this

Forward Deployed AI Engineer at Marsh McLennan rates 77 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Forward Deployed AI Engineer is an open job at Marsh McLennan.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in London - Tower Place East.
The job was posted on November 5, 2026.
Applications are handled by Marsh McLennan. Apply on Marsh McLennan

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringAI Product

Also common in AI engineer jobs at this level

AWS AI agents RAG Generative AI Azure JavaScript

Pay

Typical AI engineer job: $182k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide which parts of a product should use AI versus a fixed set of rules?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Prompt engineering and AI Product. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker