Oliver Wyman - Forward Deployed Engineer — Data & Analytics

Overview

In this role you will embed with client teams to turn real-world workflows into AI-enabled solutions. You will own the end-to-end delivery of AI systems, from design to production, and set technical direction with client and security teams. You’ll build foundational integrations and hosting, proving value at small scale and expanding successful use cases. You will mentor other engineers and raise delivery standards, shaping how the team delivers AI-enabled transformations.

Responsibilities

• Embed within client teams to frame business problems as AI opportunities and identify true needs beyond stated requirements
• Lead end-to-end delivery of AI solutions in production environments
• Set architectural direction and defend choices to client engineering and security teams
• Establish technical foundations with integrations, access, and hosting in client environments
• Prove value in production at small scale and scale successful approaches
• Develop a pipeline of new use cases from field observations and help clients build internal capability
• Onboard and mentor junior engineers to improve delivery quality
• Challenge existing systems to achieve goals through technical excellence and innovation
• Stay updated on AI and technology trends to maintain leadership in the field

Key requirements

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

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