Conversational AI Engineering Manager

Full Potential Solutions seeks a Conversational AI Engineering Manager to lead engineers and deliver chat and voice bot solutions. The role is listed in Pune, India, as fully remote.

People leadership and delivery:

• Manage and coach engineers across levels L1–L5, covering onboarding, performance, career development and promotion readiness. Recruit across levels and foster a feedback culture grounded in code review, testing, documentation and incident learning.
• Own planning, prioritization, scope and risk across concurrent projects. Work with Product, clients and stakeholders to turn business requirements into technical plans and measurable milestones.
• Create and review BRDs, PRDs, FRDs, SOWs and NFRDs, and document AI use cases, workflows and integrations. Improve agile practices, including sprint or kanban processes, roadmaps, retrospectives and metrics; enforce CI/CD workflows with and without repositories.

Conversational AI and operations:

• Lead implementation and improvement of solutions using Cognigy and/or Amazon Lex with Amazon Q, including chat and voice bots, routing, integrations and knowledge-driven experiences.
• Apply conversational design practices, NLU and LLM prompt and tooling hygiene, and safe fallbacks and handoffs to live agents. Improve bot quality through evaluation, testing, monitoring and iterative optimization.
• Set reliability, observability and on-call readiness standards using SLOs, logging, dashboards and alerts. Lead incident response and root-cause reviews, and work with security and compliance stakeholders on customer-data handling, retention and access controls.

The posting calls for strong client interaction and stakeholder management, plus hands-on experience with the listed requirements documents and AI solution documentation. No years-of-experience or education requirement is stated. Benefits mentioned include a compensation program and medical, dental and vision coverage; no salary figure is provided.