Conversational AI Lead

Enterprise Voice AI & Chatbot Delivery • Noida (In-Office)

Location

Noida (In-Office)

Seniority

Senior People Manager (58 years)

Teams Governed

Voice Bot Delivery Pods • Chatbot Delivery Pods

Core Stack

Python • MERN Stack • Voice AI (STT / TTS / LLM / Speech-to-Speech) • Telephony • LLMs • SLMs • RAG

Sectors

BFSI • Telecom • Auto • Enterprise India, Middle East & Europe

WHY THIS ROLE EXISTS

We have strong technical delivery pods with real AI and engineering talent. What we need now is a leader who sets the quality bar across both Voice Bot and Chatbot delivery and holds the teams to it.

*Our delivery teams need to operate as Forward Deployment Engineers: part Solution Architect, part Full-Stack Engineer, part Applied AI practitioner. This person builds that culture and enforces that standard.*

The problems this role solves:
- Technical quality is inconsistent deployments require more rigorous review before reaching production.
- Work distribution across pods needs active management capacity, utilisation,



and challenge levels are uneven.
- Pod leads have robust individual contributor instincts and need coaching toward true team management.
- No succession pipeline exists the next generation of technical leaders is not yet being built.
- Delivery timelines directly impact client revenue outcomes a high-agency, high-accountability operating culture is non-negotiable at this scale.

THE MANDATE

You own two things: technical quality across all delivery, and the development of the people doing it. These are inseparable.

1. Technical Quality Enforcement
- Own the technical bar for every voice bot and chatbot deployment — from solution design through go-live to steady-state operations.
- Review integrations, conversation flow designs, AI model configurations, API contracts, and telephony setups before they reach production.
- Act as solution architect on complex client integrations — coach the team on how to design and deliver correc

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