- AI Solution Architecture & Design
- Architect scalable and enterprise-grade conversational AI solutions using Kore.AI and other industry-leading AI platforms.
- Design end-to-end system architectures that integrate bots with backend systems, databases, and third-party enterprise platforms (e.g., CRM, ERP, ticketing tools).
- Define and implement best practices for AI model deployment, orchestration, and monitoring.
- Oversee the design, development, and deployment of intelligent bots, ensuring they meet functional and performance requirements.
- Implement advanced NLP/NLU techniques for accurate intent detection, sentiment analysis, and contextual understanding.
- Utilize Generative AI models to develop sophisticated conversational workflows and natural language outputs.
- Craft and optimize prompts for Generative AI models (e.g., GPT) to ensure accurate, consistent, and business-aligned outputs.
- Develop reusable prompt templates to accelerate AI solution delivery.
- Collaborate with stakeholders to translate business requirements into task-specific AI solutions.
- Lead integration of conversational AI solutions with enterprise applications (e.g., Salesforce, ServiceNow, SAP).
- Leverage APIs, SDKs, and microservices to enable seamless data exchange between bots and backend systems.
- Design robust security architectures ensuring secure, compliant bot interactions.
- Analyze conversational data, user behavior, and system performance to identify improvement opportunities.
- Continuously train and optimize NLP and Generative AI models for improved accuracy, scalability, and response quality.
- Define monitoring KPIs to measure bot effectiveness and success metrics.
- Provide technical leadership to cross-functional teams (e.g., developers, UX/UI designers, data engineers).
- Stay updated on emerging advancements in AI, NLP, Generative AI, and Kore.AI to introduce innovative, future-proof solutions.
- Advocate for AI adoption across the organization, aligning solutions with business goals and technical strategy.
Key Skills & Experience
Core Expertise
- Proven experience in AI architecture and solution design with hands-on expertise in Kore.AI and other conversational AI platforms.
- Deep understanding of NLP/NLU techniques, such as tokenization, named entity recognition, sentiment analysis, and conversational AI workflows.
- Extensive experience with Generative AI models (e.g., GPT, BioGPT) and Prompt Engineering strategies.
Technical Proficiency
- Strong programming skills in Python, Node.js, or JavaScript.
- Hands-on experience designing solutions with REST APIs, webhooks, and microservice-based architectures.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) for AI model deployment and orchestration.
- Experience in data pipelines and model performance monitoring tools.
Tools & Platforms
- Proficiency with Kore.AI and other AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Familiarity with tools for version control, CI/CD pipelines, and enterprise monitoring (e.g., Git, Jenkins, Azure DevOps).
Soft Skills
- Strong leadership, problem-solving skills, and the ability to drive AI initiatives at an enterprise scale.
- Excellent communication and stakeholder management skills to align technical designs with business goals.
- Strategic mindset with a passion for leveraging AI to solve complex challenges.
Preferred Qualifications
- Master's or Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Experience implementing conversational AI solutions in industries such as banking, healthcare, retail, or similar enterprise domains.
- Knowledge of Voice AI and multimodal conversational experiences (e.g., text, voice, visual).
- Familiarity with AI ethics, security best practices, and compliance frameworks in enterprise solutions