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 solid 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.
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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