Key Responsibilities

Process Discovery & Prospect Mapping
Assist in identifying inefficiencies and friction points across support implementation and customer success workflows.
Contribute to maintaining a backlog of AI/automation ideas.

Rapid Prototyping & Experimentation
Support the development of small-scale prototypes (e.g. chatbots workflow automations dashboards) using low-code tools Python or notebooks.
Collaborate with team members to test ideas and validate use cases.

Pilot Support & Iteration
Help deploy and monitor pilot solutions with internal teams.
Collect feedback track basic usage metrics and support iteration efforts.

Learning & Knowledge Sharing
Stay updated on emerging AI tools and trends.
Assist in preparing demos documentation or internal knowledge-sharing sessions.

Documentation & Knowledge Transfer




Help create straightforward documentation prompt libraries and reports to support scaling of successful pilots.

Cross-Functional Collaboration
Work with global teams (Delivery Support Customer Success) to understand business needs and support AI initiatives.

Requirements
BE 2026 Graduates

Currently pursuing or recently completed a degree in Engineering Computer Science Data Science Business Analytics or related field.
Basic understanding of AI/ML concepts or automation tools.
Familiarity with Python APIs JSON or data handling (academic or project-based).
Solid problem-solving and communication skills.

Required Skills:

Career in software testing

Required Education:

(CSE IT)

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