💬 Conversational AI Manager – Google Cloud | Bengaluru & Gurugram, India

Job Description

Join Google Cloud as a Conversational AI Manager and lead the design and implementation of cutting-edge Conversational AI solutions across enterprise customers. Based in Bengaluru or Gurugram, India, this role focuses on transforming contact centers and customer engagement using advanced Generative AI (GenAI), natural language processing (NLP), and voice/chatbot technologies.

This is your chance to work with global brands, lead high-performing technical teams, and shape the future of AI-powered customer experiences. If you’re passionate about AI, bots, cloud computing, and scalable customer solutions, this is the perfect opportunity to elevate your impact at one of the world’s most influential tech companies.


📝 Job Details at a Glance

Job TitleConversational AI Manager – Google Cloud
LocationBengaluru, Karnataka & Gurugram, Haryana, India
Job TypeFull-time / Hybrid
IndustryCloud Computing, AI, Contact Center Tech
Experience Level8+ years (technical leadership + NLP expertise)
TeamGoogle Cloud
Key Focus AreasGenAI, Conversational Flow Design, NLP, Bot Development
Languages/ToolsPython, Java, Cloud APIs, Dialogflow

🎯 Role Overview

As a Conversational AI Manager, you’ll work with top enterprise clients to deploy AI-powered conversational solutions that drive measurable impact. From architecting chat/voice bots to managing high-performance engineering teams, your leadership will directly influence how organizations evolve digitally using Google Cloud’s AI portfolio.

You’ll play a vital role in identifying business opportunities, designing scalable conversation flows, managing delivery teams, and creating future-ready cloud-native AI systems.


📌 Key Responsibilities

  • Lead end-to-end deployment of Conversational AI solutions for Google Cloud customers.
  • Collaborate with business stakeholders to define technical strategy and delivery scope.
  • Manage and grow a technical team of architects, engineers, and consultants.
  • Design and implement AI-powered chatbots, voice assistants, and digital agents.
  • Translate customer needs into scalable solutions using Google’s NLP, GenAI, and cloud tools.
  • Define solution architecture, develop Statements of Work (SOWs), and oversee delivery milestones.
  • Track and optimize contact center KPIs and user experience metrics.
  • Work closely with product and engineering teams to shape reusable frameworks and scalable AI modules.

🛠️ Required Skills & Qualifications

Minimum Qualifications

  • Bachelor’s degree in STEM or equivalent practical experience.
  • 8+ years in conversational AI, bot design, or NLP system architecture.
  • 3+ years of hands-on coding experience in Python, Java, or similar languages.
  • 2+ years managing technical teams in a cloud computing environment.
  • Proven experience with Generative AI, NLP, and building conversational flows.

Preferred Qualifications

  • Master’s degree in Engineering, Computer Science, Business, or related field.
  • Background in Linguistics, Cognitive Science, or Philosophy of Language with a focus on conversation analysis or pragmatics.
  • Experience in voice/chat bot platforms, contact center solutions, or enterprise digital ecosystems.
  • Strong understanding of call center KPIs, digital automation metrics, and enterprise CX strategies.

🌟 Why Join Google Cloud?

Google Cloud is leading the AI revolution—supporting over 200 countries with scalable cloud solutions, enterprise-grade AI, and machine learning technologies. You’ll help global organizations transform their customer service using powerful conversational tools that bring real results.

Work in a dynamic, supportive, and innovation-driven environment with access to:

  • World-class engineering resources
  • AI research collaborations (e.g., DeepMind)
  • Global clients and diverse industries
  • Career growth and leadership opportunities

đź“© Apply Now

Ready to lead the future of Conversational AI?

👉 Apply on Google Careers – Official Page

Select your preferred working location: Bengaluru or Gurugram during the application process.