Description

You will design and architect scalable, enterprise-grade conversational AI solutions using Kore.AI and other industry platforms.

Responsibilities

• Design end-to-end system architectures that integrate bots with backend systems, databases, and third-party enterprise platforms like CRM, ERP, and ticketing tools.
• Implement advanced NLP/NLU techniques for intent detection, sentiment analysis, and contextual understanding.
• Develop sophisticated conversational workflows and natural language outputs using Generative AI models and optimized prompt engineering.
• Lead the integration of conversational AI solutions with enterprise applications such as Salesforce, ServiceNow, and SAP via APIs, SDKs, and microservices.
• Define and implement best practices for AI model deployment, orchestration, monitoring, and security architectures.

Required Skills

• 5+ years of experience in AI architecture and solution design.
• Hands-on expertise with Kore.AI and conversational AI platforms.
• Deep understanding of NLP/NLU techniques, including tokenization and named entity recognition.
• Extensive experience with Generative AI models (e.g., GPT, BioGPT) and prompt engineering.
• Strong programming skills in Python, Node.js, or JavaScript.
• Experience designing solutions with REST APIs, webhooks, and microservice-based architectures.
• Proficiency with cloud platforms including Azure, AWS, or GCP.
• Experience with version control and CI/CD pipelines using Git and Jenkins.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.

Preferred Skills

• Experience implementing conversational AI in banking, healthcare, or retail domains.
• Knowledge of Voice AI and multimodal conversational experiences.
• Familiarity with AI ethics, security best practices, and enterprise compliance frameworks.

Key Skills

Education

Bachelor's or Master's degrees