Oliver Wyman – Forward Deployed Engineer — Data & Analytics

Overview

As a senior Forward Deployed Engineer, you embed with client teams to translate real-world workflows into AI-enabled solutions. You lead end-to-end delivery from design to production, setting technical direction while securing integrations and hosting. You mentor peers and raise the bar for delivery, building scalable foundations and a pipeline of new use cases. This role combines hands-on engineering with strategic client delivery in a dynamic, collaborative environment.

Pay / Benefits

• hybrid work with remote flexibility
• opportunity to work across varied client projects
• collaboration with talented teams
• professional development and mentorship opportunities

Responsibilities

• Embed within client teams to frame business problems as AI opportunities and identify real needs beyond stated requirements
• Lead end-to-end delivery of AI solutions in live production environments
• Set architectural direction and defend it to client engineering and security teams
• Establish technical foundations with secure integrations, access, and hosting
• Demonstrate value in production at small scale and scale successful approaches
• Develop a pipeline of new use cases from on-the-ground observations
• Mentor and grow junior engineers to raise delivery standards
• Challenge existing systems to achieve business goals through technical excellence and innovation
• Stay updated on AI and technology trends to remain cutting-edge

Key requirements

• Excellent programming and system design skills with hands-on Python experience and knowledge of at least one of C#/.NET, Java, Rust, or C++
• Proven track record taking AI or ML systems into production (LLMs, prompt design, agentic workflows, retrieval pipelines)
• Depth in APIs, integrations, SQL, cloud platforms (Azure or AWS), version control, CI/CD, and security considerations for deployments
• Ability to own a project from start to finish in ambiguous settings and make judgements on what to build, buy, or leave
• Experience working with clients or business stakeholders and ability to push back when needed
• Entrepreneurial mindset with ownership, problem-solving drive, and willingness to innovate
• Strong communication skills for clients and non-technical colleagues
• Desire to build domain knowledge and understand market context
• Undergraduate degree in computer science, mathematics, engineering or related field
• Financial services experience is a bonus but not essential

• Excellent communication
• Collaborative
• Curiosity
• Python
• C#/.NET, Java, Rust or C++
• LLMs and prompt design

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