Oliver Wyman is looking to bring onboard an experienced professional as an AI Product Enablement Engineer to join our IMEA (India, Middle East, South Africa) 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
Clear written communication
Strong learning orientation.
Skills 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
- Prompt experimentation and prompt engineering skills
- Ability to build and maintain prompt libraries, exemplars, and structured guides
- Clear written communication and strong learning orientation
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.









