AI Product Enablement Engineer

Oliver Wyman; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Oliver Wyman is hiring an Inside AI Product Enablement Engineer to advance the Quotient Inside program. You will conduct structured AI experimentation, refine prompts, prototype workflows, and create reusable exemplars.

Working under the Quotient Inside Product Strategy leadership team, you will coach colleagues, test custom GPTs, document tested use cases, and help scale responsible AI adoption across the firm.

Qualifications

• 2–5 years of experience in analytics, digital enablement, or technology-adjacent roles
• Exposure to AI tools and interest in experimentation
• Experience supporting documentation or analysis work in collaborative, cross functional environments

Responsibilities

• Execute structured prompt testing and refinement for defined AI use cases
• Support configuration and testing of custom GPTs and AI assistants
• Validate outputs for clarity, safety, and usability
• Build and maintain prompt libraries and living exemplars
• Document tested use cases for reuse in training materials
• Support AI coaching and office hours

Skills

AI tooling fluency

Prompt experimentation

Analytical mindset

Written communication

Detail oriented

Job description

About Oliver Wyman

Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, the firm combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organizational transformation. Oliver Wyman works with CEOs and executive teams of leading global organizations to drive lasting impact.

Visit our website for more details about Oliver Wyman:www.oliverwyman.com

Job Overview

The Quotient Inside AI Product Enablement Engineer supports the AI Capability & Adoption function through structured AI experimentation, prompt engineering, workflow testing, and enablement support. This role focuses on reliable execution, technical fluency, and consistent knowledge capture while developing deeper expertise in AI tools and workflows for the Oliver Wyman Centre of Excellence for Quotient Inside.

Working under the direction of the Quotient Inside Product Strategy leadership team and Director of AI Product Enablement, the Engineer contributes to coaching support, prompt refinement, custom GPT testing, and artifact creation that help scale responsible AI usage and adoption across the firm.

This is a hands-on contributor role that emphasizes experimentation, documentation, and quality delivery.

Key Responsibilities

AI Experimentation & Prompt Engineering

• Execute structured prompt testing and refinement across defined AI use cases the Centre of Excellence may own and manage
• Support configuration and testing of custom GPTs and AI assistants for the Centre of Excellence
• Validate outputs for clarity, consistency, safety, and usability

Workflow Prototyping & Technical Support

• Assist in prototyping lightweight AI workflows under guidance
• Identify basic technical constraints and ***escalate appropriately***
• Support experimentation across AI tools to assess feasibility and usage boundaries

Documentation & Living Exemplars

• Build and maintain prompt libraries, living exemplars, and structured guides for the Centre of Excellence
• Document tested use cases in reusable formats
• Contribute technical examples and demos to training and enablement materials

Coaching Support & Community Engagement

• Support office hours and working sessions
• Help translate user questions into structured AI prompts or Product Strategy team actions and backlog items
• Guide colleagues towards appropriate resources and exemplars
• Support AI coaching and respond to inbound questions

Pattern Awareness & Feedback

• Track recurring questions and usage patterns
• Share structured observations with the AI Product Strategy team leads
• Contribute technical input to decks and enablement documentation

Experience Required

• 2–5 years of experience in analytics, digital enablement, or technology-adjacent roles
• Exposure to AI tools and interest in experimentation
• Experience supporting documentation or analysis work in collaborative, cross functional environments

Skills and Attributes

• AI toolfluency and prompt experimentation
• Comfortableoperating within defined processes
• Curious and experimentation driven
• Detail-oriented and reliable in execution
• Analytical mindset and attention to detail
• Clear written communication
• Strong learning orientation