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 inter

📌 Oliver Wyman (Madrid)
🏢 Oliver Wyman Group
📍 Madrid