Overview
In this role you will embed with client teams to translate real-world workflows into AI-enabled solutions and deliver production-ready systems. You set the technical direction, build essential foundations, and prove value through live deployments. You will mentor engineers, raise the standard of delivery, and shape how we scale successful AI programs for clients. This opportunity combines hands-on engineering, client delivery, and strategic problem framing in a leading consulting environment.
Pay / Benefits
- hybrid work
- remote and onsite flexibility
- anchor days in the office
- opportunity to work with exceptional talent
- exposure to high-impact projects
Responsibilities
- Embed with client teams to frame problems as AI opportunities and identify true needs beyond stated requirements
- Lead end-to-end delivery of AI solutions in production, including design, build, test, deploy and iterate
- Set technical direction and defend architectural choices to client engineers and security teams
- Establish technical foundations with secure integrations, access controls and hosting
- Demonstrate value in production at small scale and help productize scalable solutions
- Develop a pipeline of new use cases from on-the-ground observations and build client capability
- Onboard and mentor other engineers to raise delivery standards
- Challenge existing systems to achieve goals through technical excellence and innovation
- Keep up-to-date with AI/tech trends to remain at the frontier
Key requirements
- Excellent programming and system design with hands-on Python and ideally C#/NET, Java, Rust or C++
- Track record of deploying AI or ML systems to production, with LLMs, prompt design, agentic workflows, evaluation harnesses and retrieval pipelines
- Deep engineering skills: APIs, integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and deployment security/access in client environments
- Ability to own a project end-to-end in ambiguous settings and judiciously decide what to build, buy or forego
- Experience working with clients or business stakeholders, with credibility to push back on incorrect requirements
- Entrepreneurial mindset: ownership, problem-solving drive, and willingness to innovate
- Strong communication with clients and non-technical stakeholders
- Interest in understanding business problems, building domain knowledge and market understanding
- Strong academic background in computer science, mathematics, engineering or related field
- Financial services experience is a bonus but not required
- excellent communication
- collaboration
- curiosity
- Python
- C# / .NET
- Java
Oliver Wyman - Forward Deployed Engineer — Data & Analytics in London employer: Oliver Wyman Group
Oliver Wyman is an exceptional employer, offering a dynamic and inclusive work culture that prioritises collaboration and continuous learning. As a Learning Product Manager based in London, you will have the opportunity to shape high-impact learning experiences for senior consulting talent while enjoying competitive compensation, comprehensive benefits, and a flexible hybrid working policy that supports work-life balance. With a strong commitment to employee growth and development, Oliver Wyman empowers its team members to thrive and make a meaningful impact in their careers.
