Conversational AI Engineering Manager
J
JobgetherConversational AI
Based in IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Required Skills
- SCRUMCI/CD
Requirements
- Experience in engineering management, technical leadership, or a similar software engineering leadership role.
- Experience managing and developing engineers across multiple levels and building technical teams.
- Experience delivering conversational AI solutions, including chat or voice bots, routing, integrations, and knowledge-based experiences.
- Hands-on experience with Cognigy, Amazon Lex, Amazon Q, or comparable conversational AI technologies.
- Understanding of conversational design, NLU, LLM prompting, AI tooling, evaluation methodologies, and safe fallback mechanisms.
- Experience translating business requirements into technical solutions, delivery plans, milestones, and measurable outcomes.
- Client-facing and stakeholder-management experience, including communicating technical concepts to technical and non-technical audiences.
- Experience creating or reviewing BRDs, PRDs, FRDs, SOWs, NFRDs, and AI-specific technical documentation.
- Understanding of Scrum or Kanban, roadmapping, retrospectives, and engineering metrics.
- Experience establishing or enforcing CI/CD practices and modern software delivery workflows.
- Knowledge of code review, automated testing, documentation, observability, and production reliability.
- Experience with incident management, root-cause analysis, SLOs, monitoring, logging, dashboards, and alerting.
Responsibilities
- Lead, manage, coach, recruit, and develop engineers across multiple experience levels.
- Own planning, prioritization, scope, dependencies, risks, and delivery outcomes across concurrent projects.
- Partner with Product, clients, and stakeholders to turn business requirements into technical plans, milestones, and measurable outcomes.
- Create and review BRDs, PRDs, FRDs, SOWs, NFRDs, and AI-specific solution documentation.
- Establish agile practices, including sprint or Kanban workflows, roadmaps, retrospectives, and engineering metrics.
- Establish and enforce CI/CD workflows across development environments.
- Lead conversational AI implementations using platforms such as Cognigy, Amazon Lex, and Amazon Q.
- Improve conversational design, NLU and LLM implementation, evaluation, testing, monitoring, and safe human handoffs.
- Define reliability, observability, logging, dashboards, alerting, SLO, and on-call standards.
- Lead incident response and root-cause analysis, and collaborate with security and compliance stakeholders on customer data requirements.
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