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Quotient Inside AI Product Enablement Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Quotient Inside AI Product Enablement Engineer (AI): Supporting structured AI experimentation, prompt engineering, workflow prototyping, and enablement materials for the Oliver Wyman Centre of Excellence for Quotient Inside with an accent on reliable execution, technical fluency, and knowledge capture. Focus on testing custom GPTs and AI assistants, validating outputs for safety and usability, building prompt libraries and living exemplars, and translating user questions into structured AI workflows.

Location: Corporate Tower 8, Pavilion Damansara Heights, 50490 Kuala Lumpur, Selangor, Malaysia; hybrid work with colleagues expected to be in the local office or onsite with clients at least three days per week.

Company

Oliver Wyman is a global management consulting firm and a business of hirify.global, operating across more than 70 cities in 30 countries and advising organizations on strategy, operations, risk management, and transformation.

What you will do

  • Execute structured prompt testing and refinement across defined AI use cases.
  • Configure and test custom GPTs and AI assistants, validate outputs for clarity, consistency, safety, and usability, and prototype lightweight AI workflows.
  • Identify basic technical constraints, assess AI-tool feasibility and usage boundaries, and escalate issues appropriately.
  • Build and maintain prompt libraries, living exemplars, structured guides, reusable use-case documentation, technical examples, demos, and enablement materials.
  • Support office hours, working sessions, AI coaching, and responses to inbound questions by translating user needs into prompts or Product Strategy actions.
  • Track recurring questions and usage patterns and share structured observations and technical input with AI Product Strategy leads.

Requirements

  • 2–5 years of experience in analytics, digital enablement, or technology-adjacent roles.
  • Exposure to AI tools and interest in experimentation, including AI tool fluency and prompt experimentation.
  • Experience supporting documentation or analysis work in collaborative, cross-functional environments.
  • Comfort operating within defined processes and working in an experimentation-driven manner.
  • Detail-oriented, reliable execution with an analytical mindset and strong attention to detail.
  • Clear written communication and a strong learning orientation.

Culture & Benefits

  • Flexible hybrid work combining remote work with office collaboration, connections, and professional development.
  • Marsh is committed to a diverse and inclusive work environment.

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