Conversational AI Engineering Manager

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Conversational AI Engineering Manager based in India.

• Lead, manage, and coach engineers across multiple levels, supporting onboarding, performance management, career development, and promotion readiness.
• Build a high-trust engineering culture centered on effective feedback, code reviews, testing, documentation, and learning from incidents.
• Recruit and hire engineering talent across different levels while supporting responsible team growth.
• Own delivery outcomes across concurrent projects, including planning, prioritization, scope management, dependency coordination, and risk mitigation.
• Partner with Product, clients, and other stakeholders to translate business requirements into clear technical plans, milestones, and measurable outcomes.
• Lead client interactions and stakeholder management throughout project planning and delivery.
• Create and review business and technical documentation, including BRDs, PRDs, FRDs, SOWs, and NFRDs.
• Document AI solutions through use cases, workflows, integrations, and AI-specific product and business requirements.
• Establish and continuously improve agile operating practices, including sprint or Kanban workflows, roadmaps, retrospectives, and engineering metrics.
• Establish and enforce CI/CD workflows across development environments, including workflows with and without source-code repositories.
• Lead implementation and enhancement of conversational AI solutions using platforms such as Cognigy and/or Amazon Lex with Amazon Q.
• Oversee conversational AI capabilities including chat and voice bots, routing, integrations, and knowledge-driven experiences.
• Establish best practices for conversational design, NLU and LLM implementation, prompt and tooling hygiene, and safe fallback or live-agent handoff mechanisms.
• Improve bot quality through structured evaluation, testing strategies, monitoring, and continuous optimization.
• Define and enforce standards for reliability, observability, logging, dashboards, alerting, service-level objectives, and on-call readiness.
• Lead incident response and root-cause analysis while ensuring lessons learned result in sustainable engineering improvements.
• Collaborate with security and compliance stakeholders on customer data handling, retention, access controls, and related requirements.

• Proven experience in engineering management, technical leadership, or a similar software engineering leadership role.
• Demonstrated experience managing and developing engineers across multiple levels and building high-performing technical teams.
• Strong experience delivering conversational AI solutions, including chat and/or voice bots, routing, integrations, and knowledge-based experiences.
• Hands-on experience with platforms such as Cognigy, Amazon Lex, Amazon Q, or comparable conversational AI technologies.
• Strong 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.
• Strong client-facing and stakeholder-management capabilities, with confidence communicating technical concepts to both technical and non-technical audiences.
• Experience creating and reviewing BRDs, PRDs, FRDs, SOWs, NFRDs, and AI-specific technical documentation.
• Strong understanding of agile delivery methodologies, including Scrum or Kanban, roadmapping, retrospectives, and engineering metrics.
• Experience establishing or enforcing CI/CD practices and modern software delivery workflows.
• Knowledge of software engineering fundamentals, including code review, automated testing, documentation, observability, and production reliability.
• Experience with incident management, root-cause analysis, SLOs, monitoring, logging, dashboards, and alerting.
• Ability to collaborate effectively with Product, Engineering, clients, security, compliance, and other cross-functional stakeholders.
• Strong organizational, problem-solving, communication, and decision-making skills.
• Ability to operate effectively in a remote, fast-paced, globally distributed environment.

• Fully remote working opportunity in India.
• Leadership role with significant influence over engineering teams, technical delivery, and conversational AI solutions.
• Opportunity to work with modern conversational AI, NLU, and LLM technologies.
• Exposure to global clients and cross-functional teams.
• Competitive compensation program.
• Medical, dental, and vision benefits.
• Opportunities for career advancement within a growing organization.
• Collaborative culture focused on professional development, continuous improvement, and employee growth.