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Oliver Wyman - Forward Deployed Engineer — Data & Analytics

Pay
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Work setting
Hybrid — work setting source
DNA is Oliver Wyman's home for data, analytics, AI and engineering practitioners. We sit alongside our consulting colleagues and inside our clients' teams, turning real business problems into working technology. This is a hybrid role, with at least three days per week spent in the office or onsite with clients. The opportunity
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What you’ll work on

Full posting
  • Embed with client teams to map how work really gets done and frame problems as AI problems

  • Lead design, build, testing and deployment of AI solutions in live production

  • Set the technical direction and defend architecture choices to client engineering and security teams

  • Stand up integrations, access and hosting with client IT

  • Mentor and bring on other engineers through review, pairing and coaching

From the employer’s posting
Embed within client teams to understand how work is really done, and frame business problems and commercial opportunities as AI problems
Lead delivery end to end: design, build, test, deploy and iterate AI solutions in live production environments
Set the technical direction on your engagements, making the architectural calls and defending them to client engineering and security teams
Stand up the technical foundations that solutions depend on, working with client IT to secure the right integrations, access and hosting
Bring on other engineers as the work grows, and raise the standard of delivery around you through review, pairing and mentoring

About Marsh McLennan

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

In the employer’s words · Read in context

Apply at Marsh McLennan

Posting record

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Status in our records
Live
First seen by us
Sep 17, 202657 days ago
Recorded sightings
143
Last seen by us
Nov 13, 2026

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How this job compares

Time since we first saw it

Day 57

Similar jobs usually come down between day 4 and day 77.

At Marsh McLennan, jobs usually come down by about day 33.

From 51 similar postings that came down, and 216 of Marsh McLennan’s. Coming down is not always a hire.

Marsh McLennan is hiring

56 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 7% of open jobs were reposted
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  • C#
  • Java
  • Python
  • Rust
  • SQL
  • AWS
  • Azure
  • C++
Where the posting names them
What makes a great candidate - 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 — not just prototypes — including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines
- A track record of taking AI or machine learning systems into production — not just prototypes — including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines - Depth in the surrounding engineering: APIs and integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and the security and access considerations that come with deploying inside someone else's environment - Proven ability to own a project from start to finish in an ambiguous setting, and the judgement to know what to build, what to buy and what to leave alone

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

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Who we are

At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

DNA is Oliver Wyman's home for data, analytics, AI and engineering practitioners. We sit alongside our consulting colleagues and inside our clients' teams, turning real business problems into working technology.


This is a hybrid role, with at least three days per week spent in the office or onsite with clients.


The opportunity

Forward Deployed Engineers take AI solutions from idea to secure production inside live client environments. You will embed with a client team and work like a member of their staff: understanding how the work actually gets done, translating messy real-world workflows into something an AI system can support, then building, testing and iterating alongside the people who will use it.

As a senior member of the team you will do this without a defined brief. You will decide what is worth building, set the technical direction, and stand up the foundations the solution needs — integrations, permissions, hosting, data access — in a way that holds up in an architecture review and a security assessment. You will prove value in production at small scale rather than in a polished demo, and build the pipeline of the next use cases from what you learn on the ground.

You will also be one of the people others learn from: shaping how we deliver, raising the technical bar, and giving less experienced engineers the context and confidence to own their own work.

The role rewards range. We look for people who are genuinely deep in one discipline and credible across the others: client delivery, AI and agentic systems, engineering and infrastructure, and the subject matter of the business they are working in.

Our culture

  • We are looking for exceptional talent with excellent communication skills
  • Collaboration is key, both internally and with our clients. We believe we do our best work when we are together and working hand in hand with business users
  • Curiosity is something we embrace and value highly
  • We want people who are positive and passionate, have proven problem solving capabilities, can work quickly to find solutions to complex challenges and unlock big opportunities
  • People need to be able to take ownership and be trusted to deliver, going the extra mile
  • We want people who are highly motivated and have a high desire to learn

Responsibilities

  • Embed within client teams to understand how work is really done, and frame business problems and commercial opportunities as AI problems — applying judgement 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 your engagements, making the architectural calls and defending them to client engineering and security teams
  • Stand up the technical foundations that 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 productise and scale what works
  • Build a pipeline of new use cases from what you observe on the ground, and help clients build their own capability rather than a dependency on us
  • Bring on other engineers as the work grows, and raise the standard of delivery around you 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 that keep us at the forefront of what is possible

What makes a great candidate

  • 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 — not just prototypes — including substantial experience with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines
  • Depth in the surrounding engineering: APIs and integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and the security and access considerations that come with deploying inside someone else's environment
  • Proven ability to own a project from start to finish in an ambiguous setting, and the judgement to know what to build, what to buy and what to leave alone
  • Experience working directly with clients or business stakeholders, including the credibility to push back when the stated requirement is not the right one
  • An entrepreneurial nature: willing to take ownership, run towards problems, and thrive on innovation
  • The ability to communicate clearly and professionally with clients and colleagues at every level, including non-technical business users
  • A desire to understand and solve business problems, build domain knowledge and increase market understanding
  • A strong academic background, with an undergraduate degree in computer science, mathematics, engineering or a related field
  • Financial services experience is a bonus, but is not essential

Why join us?

  • Push the boundaries of what is possible, and re-imagine how leading-edge AI can be used to deliver commercial value
  • Make an impact from day one: we empower and trust our people to leverage and extend their skill sets
  • Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends
  • Deliver demonstrable business value working hand-in-hand with the customer
  • Learn from industry experts across the full breadth of Oliver Wyman's client base

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $24 billion and more than 90,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. To learn more, please follow us on LinkedIn, Instagram or Twitter. 


Oliver Wyman is a business of Marsh (NYSE: MRSH), 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 oliverwyman.com, or follow us on LinkedIn and X. 

Marsh is committed to providing an inclusive work environment. We aim to attract and retain the best, most qualified people and value colleagues of all backgrounds, without regard to 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.

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London, United Kingdom

DNA is Oliver Wyman's home for data, analytics, AI and engineering practitioners. We sit alongside our consulting colleagues and inside our clients' teams, turning real business problems into working technology. This is a hybrid role, with at least three days per week spent in the office or onsite with clients. The opportunity

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