Conversational AI Engineering Manager

Fpsinc; Pune District; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Full Potential Solutions (FPS) on Pune–based team is seeking a Conversational AI Engineering Manager to lead engineers across levels, build a high-trust delivery culture, and drive adoption of CI/CD practices. The role emphasizes client interaction, architecture alignment, and governance of BRD/PRD/FRD/SOW/NFRD artifacts.

You will help scale a Cognigy/Amazon Lex–driven conversational AI platform, ensuring high bot quality, performance, and safe handoffs.

Qualifications

• Experience leading engineering teams and delivering AI/ML projects.
• Strong ability to translate business needs into technical plans and milestones.
• Proven capability to coach engineers across multiple levels.

Responsibilities

• Lead and develop engineering teams across levels (L1–L5).
• Own delivery outcomes: planning, scoping, prioritization, risk management.

Skills

People leadership

Team development

Performance management

Onboarding

Stakeholder management

CI/CD

Tools

Cognigy

Amazon Lex

CI/CD pipelines

Job description

About Us

Full Potential Solutions (FPS) is a performance-based, analytically driven omnichannel solutions organization with operations in Waltham, MA, Chennai, India, Bogota, Colombia, and Manila, Philippines that puts culture and employees first. We are a rapidly growing global company, employing the best people, processes, and proprietary technology to deliver groundbreaking solutions for our clients and fulfilling careers for our employees.

We invest in our people and put culture first because we believe that happy, fulfilled teams deliver breakthrough results. FPS offers a competitive suite of benefits for our employees, including a lucrative compensation program, medical, dental, and vision benefits, and the opportunity for high-potential career growth with a fast-growing company.

Our Core Values:

• Integrity - Do what’s right for everyone: clients, shareholders, partners & colleagues, TEAM is more important than self, and create an atmosphere of mutual respect

• Excellence - Deliver exceptional client results, Reward and recognize performance, and Relentless pursuit of improvement

• Accountability - Act like an owner, take pride in our work, Measure results (your own and our clients), Be passionate

• Grace - Respect and appreciate differences, Care for one another, Humility, Make work personal

Our Mission

To create conditions within which people can thrive!

Conversational AI Engineering Manager

Roles and Responsibilities

• 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, clients, and stakeholders to translate business requirements into clear technical plans and measurable milestones.
• Strong client interaction and stakeholder management experience.
• Hands‑on experience creating and reviewing BRD, PRD, FRD, SOW, and NFRD.
• Experience documenting AI solutions, including AI‑specific BRDs/PRDs, use cases, workflows, and integrations.
• Establish and improve agile operating rhythms (sprint/kanban, roadmapping, 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.