Oliver Wyman - Forward Deployed Engineer — Data & Analytics

Marsh; Madrid; Hybrid; EUR 136,000 - 163,000; Full time

Job summary

Oliver Wyman, a Marsh company, seeks Forward Deployed Engineers to take AI solutions from idea to secure production inside live client environments. You will embed with client teams, translate real-world workflows into AI-ready requirements and build, test, and iterate with ownership and technical direction.

You will work across client delivery, AI systems, engineering and infrastructure, shaping how we deliver and raising the technical bar.

Qualifications

• Hands-on Python and at least one of C#/.NET, Java, Rust or C++.
• Production experience with AI or machine learning systems.
• Experience with APIs, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and security considerations.
• Proven ability to own a project from start to finish in ambiguous settings.
• Experience working directly with clients or business stakeholders.
• Entrepreneurial mindset: ownership, problem-solving, innovation.
• Clear, professional communication with clients and colleagues at all levels.
• Desire to understand and solve business problems with domain knowledge.
• Strong academic background in CS, mathematics, engineering or related field.
• Finance experience is a bonus but not essential.

Responsibilities

• Embed with client teams to frame business problems as AI problems and identify true needs.
• Lead end-to-end delivery: design, build, test, deploy and iterate AI solutions in production.
• Set architectural direction and defend it to client engineering and security teams.
• Stand up technical foundations, ensure proper integrations, access and hosting.
• Prove value in production at small scale and scale successful approaches.
• Build a pipeline of new use cases from observed needs.
• Bring in other engineers and raise delivery standards through review and mentoring.
• Challenge existing systems to achieve common goals with technical excellence.
• Keep up with AI progress and technology trends to stay ahead.

Skills

Python

C#/.NET

Java

Rust

C++

AI production

APIs & integrations

SQL

Azure

AWS

CI/CD

security & access

client-facing

entrepreneurial mindset

communication skills

domain knowledge

CS/Math/Engineering degree

finance experience (bonus)

Education

BSc in CS/Math/Engineering

Tools

LLMs

prompt design

agentic workflows

retrieval pipelines

Job description

Company: Oliver Wyman

Description:

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 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 [e-mail]. 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.