Oliver Wyman is looking to bring onboard an experienced professional as an AI Product Enablement Engineer to join our IMEA Quotient Inside Team!

This role will be based out of our Gurugram Office.

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:

- 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 toward appropriate resources and exemplars

- Support AI coaching and respond to inbound questions.

- 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

- 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.

- 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.

- 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 tool fluency and prompt experimentation

- Comfortable operating within defined processes

- Curious and experimentation driven

- Detail-oriented and reliable in execution

- Analytical mindset and attention to detail

- Explicit written communication

- Strong learning orientation.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Oliver Wyman - AI Product Enablement Engineer (Gurugram)
🏢 Oliver Wyman
📍 Gurugram