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Conversational AI - Manager

Job in 110006, Delhi, Delhi, India
Listing for: Full Potential Solutions
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    IT Project Manager, Data Science Manager, AI Engineer, Data Analyst
Job Description & How to Apply Below
Role :
Conversational AI Manager
Work Module:  100% Remote (India Geo Only)
Work Time : 2 PM to 11 PM IST
Duration :
Full Time Role

Roles and Responsibilities:

● Minimum 7 to 10 years of experience is required

● People leadership & team development

● Manage and coach engineers across levels (L1–L5), including onboarding, performance management, career development, and promotion readiness.

● Build a high-trust feedback culture with strong engineering fundamentals (code review, testing, documentation, incident learning).

● Recruit and hire across multiple levels; help scale the team responsibly.

Delivery & execution

● Own delivery outcomes: planning, prioritization, scope control, and risk management across concurrent projects.

● Collaborate with Product and stakeholders to translate requirements into clear technical plans and measurable milestones.

● Establish and improve agile operating rhythms (sprint/kanban, road mapping, retros, metrics).

● Enforce CI/CD workflows (both with and without repositories)

Conversational AI platform leadership

● Lead implementation and enhancement of solutions built on Cognigy and/or Amazon Lex + Amazon Q (chat/voice bots, routing, integrations, and knowledge-driven experiences).

● Ensure best practices for conversational design implementation, NLU/LLM prompt/tooling hygiene, and safe fallbacks/hand-offs to live agents.

● Improve bot quality through evaluation, testing strategies, monitoring, and iterative optimization.

Operational excellence & Cross-functional collaboration

● Define and enforce standards for reliability, observability, and on-call readiness (SLOs, logging, dashboards, alerts).

● Drive incident response and root-cause reviews; ensure learnings translate into durable engineering changes.

● Work with security/compliance stakeholders for data handling, retention, and access controls when integrating customer data sources.

Thank You
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