AI Enablement Engineer

Role & responsibilities

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Role Purpose:

Engage directly with end users through calls and working sessions to understand their day-to-day work, identify tasks with automation or AI-enablement potential, co-learn and experiment with AI-enabled approaches, and demonstrate successful usage and implementation in the user's actual workflow.
Ultimate objective is to coach and enable the end user to implement and continually use AI in a self-sustained and efficient manner.

Core Role Expectations:

• Conduct structured conversations/calls with end users to understand processes, pain points, repetitive work and business outcomes.
• Translate user observations into practical automation and AI-enablement opportunities.
• Work collaboratively with users to co-learn AI capabilities and test them against real tasks and workflows.
• Support proof-of-concept or pilot implementations and demonstrate measurable, repeatable usage.
• Document use cases, learnings, implementation steps, outcomes and opportunities for scale.

1. Client Communication

• Engage with end users through calls to understand their tasks, challenges and process gaps.
• Ask targeted questions to uncover repetitive or time-consuming activities.
• Explain AI and automation opportunities in a simple, practical way.
• Facilitate AI co-learning sessions and encourage users to experiment with AI.
• Demonstrate AI-enabled solutions and showcase their practical business value.
• Capture user feedback, document learnings and maintain clear stakeholder communication.

2. Work/Project specific

• Understand existing business processes and identify tasks that can benefit from AI or automation.
• Identify and qualify potential AI use cases based on user needs and business impact.
• Work with users to test, refine and implement AI-enabled solutions.
• Conduct POCs/pilots and validate solutions with actual end users.
• Create and deliver demos showcasing successful AI adoption and usage.
• Document use cases, solutions, learnings and implementation outcomes.
• Collaborate with relevant teams to scale successful AI-enabled solutions

Preferred candidate profile

• Excellent Communication skills, both verbal and written (English as a business language)
• Interacts and improvises comfortably with US white collar professionals
• Ability to Coach/Train/Handhold clients through building 2-way conversations
• Good knowledge and hands on with AI platforms (Claude/ChatGPT, etc.)
• Good with MS Excel/Word/PowerPoint
• Strong communication skills for internal and cross-functional collaboration.