Solution Architect/Lead Developer - AI & ML

Tekskills; Hyderabad; On-site; INR 600,000 - 900,000; Full time

Job summary

Tekskills in Hyderabad is looking for an AI/Conversational AI Lead to guide development of intelligent chatbots. You will evaluate tools and platforms, design AI-driven conversational solutions, and set best practices for scalable bot projects.

You will oversee API integrations with external systems, leverage NLU to improve user intent understanding, and apply generative AI models to deliver context-aware responses based on user interactions.

Qualifications

• Experience with conversational AI concepts and architectures.
• Strong knowledge of NLP, NLU, and related technologies.
• Ability to design scalable, maintainable bot solutions.

Responsibilities

• Lead evaluation and selection of tools, frameworks, and platforms for developing conversational AI solutions.
• Design and implement conversational AI solutions using AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability.
• Oversee API integrations to connect chatbots with external systems (e.g., CRM) for enhanced bot journeys.
• Utilize NLU techniques to improve user intent understanding and context for personalized responses.
• Apply generative AI models (e.g., GPT) to create adaptive chatbots with contextually relevant responses.

Job description

Job Summary

AI , Chatbot Development

Responsibilities-

• Lead the evaluation and selection of appropriate tools, frameworks, and platforms for developing conversational AI solutions.
• Design and implement conversational AI solutions that incorporate advanced technologies such as AI, ML, Generative AI, LLMs, and NLP.
• Define and enforce best practices, standards, and guidelines for Conversational AI bot development to ensure scalability, performance, and maintainability
• Oversee the integration of APIs to connect chatbots with external systems (e.g., CRM systems) for enhanced functionality within bot journeys.
• Utilize NLU techniques to enhance the chatbot's ability to comprehend user intent and context, enabling personalized responses that improve user satisfaction.
• Leverage generative AI models (e.g., OpenAI's GPT) to create adaptive chatbots capable of delivering contextually relevant responses based on user interactions. This includes