Reports To: Technical Program Managers
Location: Gurugram – Work from Office

As a Generative AI Chatbot Architect, you will play a pivotal role in designing, developing, and implementing advanced conversational AI solutions that enhance customer engagement, drive productivity, and streamline business processes. You will leverage cutting-edge Generative AI technologies, Microsoft Azure services, and modern AI frameworks to deliver scalable, high-performance, and intelligent conversational interfaces.

Responsibilities

• Design and implement AI solutions to deliver seamless and engaging user experiences.
• Optimize, Develop and test scalable, high-performance chatbot solutions using Microsoft Bot Framework, Generative AI models, and Azure Cognitive Services.
• Integrate advanced cognitive capabilities (e.g., natural language understanding, sentiment analysis, and intent recognition) into conversational interfaces to solve complex business challenges.
• Collaborate with cross-functional teams (e.g., product managers, developers) to align solutions with business goals and user needs.

Required

• 8+ years of experience in software development, with a recent focus on conversational AI, chatbot development, and Generative AI solutions.
• Bachelors/Master’s Degree in Computer Science, IT or related field.
• Proficiency in C programming and/or programming languages supported by Microsoft Bot Framework.
• Understanding of Chatbot Architecture, particularly based on the Microsoft Bot Framework.
• Hands-on experience with Microsoft Azure Cloud services and generate clear and concise technical documents, including architecture diagrams, API documentation, and system workflows.
• Familiarity with Agile frameworks (e.g., Scrum) and tools like Jira and Confluence.

Preferred Qualifications

• Experience in Python, React JS, Angular.
• Experience in leveraging other Azure AI services through SDKs and APIs.
• Experience with integrating third-party AI models into custom solutions.
• Familiarity with Agentic AI.
• Knowledge of DevOps practices for CI/CD pipelines and chatbot deployment.