Team Lead - Conversational Agents

Experience: 10+ Years
Location: Hybrid

About the Role

We are seeking a seasoned Team Lead - Conversational Agents to lead, mentor, and grow an engineering team focused on architecting and delivering next-generation AI-powered voice, digital, and enterprise conversational platforms.

In this role, you will bridge technical leadership, enterprise architecture, and team management. Beyond driving hands-on innovations with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI, you will be responsible for scaling enterprise chatbots, setting engineering standards, and fostering the professional growth of your team.

Key Responsibilities

Technical Leadership & Enterprise Architecture

• Architect, build, and deploy robust, enterprise-grade digital and voice assistants, chatbots, and AI agent platforms at scale.
• Oversee multi-step AI workflow orchestration, tool/function calling, state management, and RAG pipelines integrated with complex enterprise backends.
• Drive quality assurance, performance optimization, model evaluation, safety guardrails, and compliance across all conversational touchpoints.

Team Leadership & Growth

• Lead a team of small-to-medium-sized AI Conversational Engineers, providing technical guidance, career development, mentorship, and continuous growth opportunities.
• Establish engineering best practices, standards, and testing methodologies.

Collaboration & Delivery Management

• Partner closely with product managers, business stakeholders, and cross-shore engineering teams to align business goals with execution strategies.
• Drive project delivery timelines, manage technical risks, remove blockers, and ensure high-quality software releases.

Required Skills & Qualifications

Leadership & Core Experience

• 10+ years of total software engineering experience.
• 2+ years of experience leading, managing, or mentoring small-to-medium engineering teams.
• Proven track record of building and successfully deploying enterprise-scale chatbots, conversational AI platforms, or digital assistant solutions.

• Advanced Python programming, code architecture, and asynchronous frameworks (e.g., FastAPI).
• Experience with RESTful APIs, webhooks, microservices architecture, and integrating with enterprise knowledge sources/databases.
• CI/CD pipelines, Git workflows, automated unit/integration testing, cloud infrastructure (AWS/GCP), and security best practices.

• Good understanding of Large Language Models (LLMs), Prompt Engineering, RAG architectures, and Agentic AI systems.
• Experience with Model Context Protocol (MCP), tool/function calling, and AI workflow orchestration engines.
• Hands-on familiarity with modern frameworks (LangChain, LangGraph) and Vector Databases (Pinecone).

Ideal Candidate Profile

• A proactive leader who leads by example, balances technical excellence with empathy, and takes personal responsibility for team success and growth.
• Passionate about converting cutting-edge GenAI research into stable, secure, high-value business applications for enterprise clients.
• Ability to articulate complex technical concepts clearly to non-technical stakeholders and executive leadership.